When the irradiance distribution over the photovoltaic panels is uniform, the pursuit of the maximum power point is not reached, which has allowed several researchers to use traditional MPPT techniques to solve this problem Among these techniques a PSO algorithm is used to have the maximum global power point (GMPPT) under partial shading. On the other hand, this one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper we have treated another technique based on a new modified PSO algorithm so that the power can reach its maximum point. The PSO algorithm is based on the heuristic method which guarantees not only the obtaining of MPPT but also the simplicity of control and less expensive of the system. The results are obtained using MATLAB show that the proposed modified PSO algorithm performs better than conventional PSO and is robust to different partial shading models.
Harvesting energy from the sun makes the photovoltaic (PV) power generation a promising technology. To obtain a consistent state of charge (SOC), consistent energy must be harvested and efficiently directed to the battery. Overcharging or undercharging phenomena decreases the lifetime of the battery. Besides, the effect of irradiance toward solar in term of sunlight intensity effects the efficiency and hence, sluggish the SOC. The main problem of the solar panel revealed when the temperature has increased, the efficiency of solar panel will also be decreased. This manuscript reports the finding of developing an automatic active cooling system for a solar panel with a real time energy monitoring system with internet-of-things (IoT) facility. The IoT technology assists user to measure the efficiency of the solar panel and SOC of the battery in real time from any locations. The automatic active cooling system is designed to improve the efficiency of the solar panel. The effectiveness of the proposed system is proven via the analysis of the effect of active cooling toward efficiency and SOC of photovoltaic system. The results also tabulate the comparative studies of active-to-passive cooling system, as well as the effect of cooling towards SOC and efficiency of the solar panel.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
This study investigates experimentally the performance of two-dimensional solar tracking systems with reflector using commercial silicon based photovoltaic module, with open and closed loop control systems. Different reflector materials were also investigated. The experiments were performed at the Hashemite University campus in Zarqa at a latitude of 32⁰, in February and March. Photovoltaic output power and performance were analyzed. It was found that the modified photovoltaic module with mirror reflector generated the highest value of power, while the temperature reached a maximum value of 53 ̊ C. The modified module suggested in this study produced 5% more PV power than the two-dimensional solar tracking systems without reflector and produced 12.5% more PV power than the fixed PV module with 26⁰ tilt angle.
Alternating current (AC) electrical drives mainly require smaller current (or torque) ripples and lower total harmonic distortion (THD) of voltage for excellent drive performances. Normally, in practice, to achieve these requirements, the inverter needs to be operated at high switching frequency. By operating at high switching frequency, the size of filter can be reduced. However, the inverter which oftenly employs insulated gate bipolar transistor (IGBT) for high power applications cannot be operated at high switching frequency. This is because, the IGBT switching frequency cannot be operated above 50 kHz due to its thermal restrictions. This paper proposes an alternate switching strategy to enable the use of IGBT for operating the inverter at high switching frequency to improve THD performances. In this strategy, each IGBT in a group of switches in the modified inverter circuit will operate the switching frequency at one-fourth of the inverter switching frequency. The alternate switching is implemented using simple analog and digital integrated circuits.
The power generation using solar photovoltaic (PV) system in microgrid requires energy storage system due to their dilute and intermittent nature. The system requires efficient control techniques to ensure the reliable operation of the microgrid. This work presents dynamic power management using a decentralized approach. The control techniques in microgrid including droop controllers in cascade with proportional-integral (PI) controllers for voltage stability and power balance have few limitations. PI controllers alone will not ensure microgrid’s stability. Their parameters cannot be optimized for varying demand and have a slow transient response which increases the settling time. The droop controllers have lower efficiency. The load power variation and steady-state voltage error make the droop control ineffective. This paper presents a control scheme for dynamic power management by incorporating the combined PI and hysteresis controller (CPIHC) technique. The system becomes robust, performs well under varying demand conditions, and shows a faster dynamic response. The proposed DC microgrid has solar PV as an energy source, a lead-acid battery as the energy storage system, constant and dynamic loads. The simulation results show the proposed CPIHC technique efficiently manages the dynamic power, regulates DC link voltage and battery’s state of charge (SoC) compared to conventional combined PI and droop controller (CPIDC).
The emerging of inductive wireless power transfer (IWPT) technology provides more opportunities for the electric vehicle (EV) battery to have a better recharging process. With the development of IWPT technology, various way of wireless charging of the EV battery is proposed in order to find the best solution. To further understand the fundamentals of the IWPT system itself, an ample review is done. There are different ways of EV charging which are static charging (wired), static wireless charging (SWC) and dynamic wireless charging (DWC). The review starts with a brief comparison of static charging, SWC and DWC. Then, in detailed discussion on the fundamental concepts, related laws and equations that govern the IWPT principle are also included. In this review, the focus is more on the DWC with a little discussion on static charging and SWC to ensure in-depth understanding before one can do further research about the EV charging process. The in-depth perception regarding the development of DWC is elaborated together with the system architecture of the IWPT and DWC system and the different track versions of DWC, which is installable to the road lane.
Electricity is a major source of energy for fast growing population and the use of nonrenewable source is harmful for our environment. This reason belongs to devastating of environment, so it is required to take immediate action to solve these problems which result the solar energy development. Production of a solar energy can be maximizing if we use solar follower. The major part of solar panels is microcontroller with arrangement of LDR sensor is used to follow the sun, where the sensors is less efficient to track the sun because of the low sensitivity of LDR. We are proposing a method to track sun more effetely with the help of both LDR sensors and image processing. This type of mechanism can track sun with the help of image processing software which combines both result of sensors and processed sun image to control the solar panel. The combination of both software and hardware can control thousands of solar panels in solar power plants.
The electrical distribution network is undergoing tremendous modifications with the introduction of distributed generation technologies which have led to an increase in fault current levels in the distribution network. Fault current limiters have been developed as a promising technology to limit fault current levels in power systems. Though, quite a number of fault current limiters have been developed; the most common are the superconducting fault current limiters, solid-state fault current limiters, and saturated core fault current limiters. These fault current limiters present potential fault current limiting solutions in power systems. Nevertheless, they encounter various challenges hindering their deployment and commercialization. This research aimed at designing a bridge-type nonsuperconducting fault current limiter with a novel topology for distribution network applications. The proposed bridge-type nonsuperconducting fault current limiter was designed and simulated using PSCAD/EMTDC. Simulation results showed the effectiveness of the proposed design in fault current limiting, voltage sag compensation during fault conditions, and its ability not to affect the load voltage and current during normal conditions as well as in suppressing the source powers during fault conditions. Simulation results also showed very minimal power loss by the fault current limiter during normal conditions.
Harvesting energy from the sun makes the photovoltaic (PV) power generation a promising technology. To obtain a consistent state of charge (SOC), consistent energy must be harvested and efficiently directed to the battery. Overcharging or undercharging phenomena decreases the lifetime of the battery. Besides, the effect of irradiance toward solar in term of sunlight intensity effects the efficiency and hence, sluggish the SOC. The main problem of the solar panel revealed when the temperature has increased, the efficiency of solar panel will also be decreased. This manuscript reports the finding of developing an automatic active cooling system for a solar panel with a real time energy monitoring system with internet-of-things (IoT) facility. The IoT technology assists user to measure the efficiency of the solar panel and SOC of the battery in real time from any locations. The automatic active cooling system is designed to improve the efficiency of the solar panel. The effectiveness of the proposed system is proven via the analysis of the effect of active cooling toward efficiency and SOC of photovoltaic system. The results also tabulate the comparative studies of active-to-passive cooling system, as well as the effect of cooling towards SOC and efficiency of the solar panel.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
This study investigates experimentally the performance of two-dimensional solar tracking systems with reflector using commercial silicon based photovoltaic module, with open and closed loop control systems. Different reflector materials were also investigated. The experiments were performed at the Hashemite University campus in Zarqa at a latitude of 32⁰, in February and March. Photovoltaic output power and performance were analyzed. It was found that the modified photovoltaic module with mirror reflector generated the highest value of power, while the temperature reached a maximum value of 53 ̊ C. The modified module suggested in this study produced 5% more PV power than the two-dimensional solar tracking systems without reflector and produced 12.5% more PV power than the fixed PV module with 26⁰ tilt angle.
Alternating current (AC) electrical drives mainly require smaller current (or torque) ripples and lower total harmonic distortion (THD) of voltage for excellent drive performances. Normally, in practice, to achieve these requirements, the inverter needs to be operated at high switching frequency. By operating at high switching frequency, the size of filter can be reduced. However, the inverter which oftenly employs insulated gate bipolar transistor (IGBT) for high power applications cannot be operated at high switching frequency. This is because, the IGBT switching frequency cannot be operated above 50 kHz due to its thermal restrictions. This paper proposes an alternate switching strategy to enable the use of IGBT for operating the inverter at high switching frequency to improve THD performances. In this strategy, each IGBT in a group of switches in the modified inverter circuit will operate the switching frequency at one-fourth of the inverter switching frequency. The alternate switching is implemented using simple analog and digital integrated circuits.
The power generation using solar photovoltaic (PV) system in microgrid requires energy storage system due to their dilute and intermittent nature. The system requires efficient control techniques to ensure the reliable operation of the microgrid. This work presents dynamic power management using a decentralized approach. The control techniques in microgrid including droop controllers in cascade with proportional-integral (PI) controllers for voltage stability and power balance have few limitations. PI controllers alone will not ensure microgrid’s stability. Their parameters cannot be optimized for varying demand and have a slow transient response which increases the settling time. The droop controllers have lower efficiency. The load power variation and steady-state voltage error make the droop control ineffective. This paper presents a control scheme for dynamic power management by incorporating the combined PI and hysteresis controller (CPIHC) technique. The system becomes robust, performs well under varying demand conditions, and shows a faster dynamic response. The proposed DC microgrid has solar PV as an energy source, a lead-acid battery as the energy storage system, constant and dynamic loads. The simulation results show the proposed CPIHC technique efficiently manages the dynamic power, regulates DC link voltage and battery’s state of charge (SoC) compared to conventional combined PI and droop controller (CPIDC).
The emerging of inductive wireless power transfer (IWPT) technology provides more opportunities for the electric vehicle (EV) battery to have a better recharging process. With the development of IWPT technology, various way of wireless charging of the EV battery is proposed in order to find the best solution. To further understand the fundamentals of the IWPT system itself, an ample review is done. There are different ways of EV charging which are static charging (wired), static wireless charging (SWC) and dynamic wireless charging (DWC). The review starts with a brief comparison of static charging, SWC and DWC. Then, in detailed discussion on the fundamental concepts, related laws and equations that govern the IWPT principle are also included. In this review, the focus is more on the DWC with a little discussion on static charging and SWC to ensure in-depth understanding before one can do further research about the EV charging process. The in-depth perception regarding the development of DWC is elaborated together with the system architecture of the IWPT and DWC system and the different track versions of DWC, which is installable to the road lane.
Electricity is a major source of energy for fast growing population and the use of nonrenewable source is harmful for our environment. This reason belongs to devastating of environment, so it is required to take immediate action to solve these problems which result the solar energy development. Production of a solar energy can be maximizing if we use solar follower. The major part of solar panels is microcontroller with arrangement of LDR sensor is used to follow the sun, where the sensors is less efficient to track the sun because of the low sensitivity of LDR. We are proposing a method to track sun more effetely with the help of both LDR sensors and image processing. This type of mechanism can track sun with the help of image processing software which combines both result of sensors and processed sun image to control the solar panel. The combination of both software and hardware can control thousands of solar panels in solar power plants.
The electrical distribution network is undergoing tremendous modifications with the introduction of distributed generation technologies which have led to an increase in fault current levels in the distribution network. Fault current limiters have been developed as a promising technology to limit fault current levels in power systems. Though, quite a number of fault current limiters have been developed; the most common are the superconducting fault current limiters, solid-state fault current limiters, and saturated core fault current limiters. These fault current limiters present potential fault current limiting solutions in power systems. Nevertheless, they encounter various challenges hindering their deployment and commercialization. This research aimed at designing a bridge-type nonsuperconducting fault current limiter with a novel topology for distribution network applications. The proposed bridge-type nonsuperconducting fault current limiter was designed and simulated using PSCAD/EMTDC. Simulation results showed the effectiveness of the proposed design in fault current limiting, voltage sag compensation during fault conditions, and its ability not to affect the load voltage and current during normal conditions as well as in suppressing the source powers during fault conditions. Simulation results also showed very minimal power loss by the fault current limiter during normal conditions.
This paper provides a new approach to reducing high-order harmonics in 400 Hz inverter using a three-level neutral-point clamped (NPC) converter. A voltage control loop using the harmonic compensation combined with NPC clamping diode control technology. The capacitor voltage imbalance also causes harmonics in the output voltage. For 400 Hz inverter, maintain a balanced voltage between the two input (direct current) (DC) capacitors is difficult because the pulse width modulation (PWM) modulation frequency ratio is low compared to the frequency of the output voltage. A method of determining the current flowing into the capacitor to control the voltage on the two balanced capacitors to ensure fast response reversal is also given in this paper. The combination of a high-harmonic resonator controller and a neutral-point voltage controller working together on the 400 Hz NPC inverter structure is given in this paper.
With the dominating utility of the internet, it becomes critical to manage the efficiency and reliability of telecom and datacenter, as the power consumption of the involved equipment also increases. Much power being wasted through the power conversion stages by converting AC voltage to DC voltage and then stepping down to lower voltages to connect to information and communication technology (ICT) equipment. 48/12 VDC is the standard DC bus architecture to serve the end utility equipment. This voltage level is further processed to multiple lower voltages to power up the internal auxiliary circuits. Power losses are involved when it is converted from higher voltage to lower voltages. Therefore, the efficiency of power conversion is lower. There is a need to increase the efficiency by minimizing the power losses which occur due to the conversion stages. Different methods are available to increase the efficiency of a system by optimizing the converter topologies, semiconductor materials and control methods. There is another possibility of increasing the efficiency by changing the architecture of a system by increasing the DC bus voltage to higher voltages to optimize the losses. This paper presents a review of available high voltage options for telecom power distribution and developments, implementations and challenges across the world.
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.
Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.
This paper presents simulation and experimental results of anti-windup PI controller to improve induction machine speed control based on direct torque control (DTC) strategy. Problems like rollover can arise in conventional PI controller due to saturation effect. In order to avoid such problems anti-windup PI controller is presented. This controller is simple for implementation in practice. The proposed anti-windup PI controller demonstrates better dynamic step changes response in speed in terms of overshoots. All simulation work was done using Simulink in the MATLAB software. The experimental results were obtained by practical implementation on a dSPACE 1104 board for a 1.5 KW induction machine. Simulation and experimental results have proven a good performance and verified the validity of the presented control strategy.
Optimizing of the installed capacity of hybrid renewable energy with a modifi...IJECEIAES
The lack of wind speed capacity and the emission of photons from sunlight are the problem in a hybrid system of photovoltaic (PV) panels and wind turbines. To overcome this shortcoming, the incremental conductance (IC) algorithm is applied that could control the converter work cycle and the switching of the buck boost therefore maximum efficiency of maximum power point tracking (MPPT) is reached. The operation of the PV-wind hybrid system, consisting of a 100 W PV array device and a 400 W wind subsystem, 12 V/100 Ah battery energy storage and LED, the PV-wind system requires a hybrid controller for battery charging and usage and load lamp and it’s conducted in experimental setup. The experimental has shown that an average increase in power generated was 38.8% compared to a single system of PV panels or a single wind turbine sub-system. Therefore, the potential opportunities for increasing power production in the tropics wheather could be carried out and applied with this model.
This paper presents an online efficiency optimization method for the interior permanent magnet synchronous motor (IPMSM) drive system in an electric vehicle (EV). The proposed method considers accurately the total system losses including fundamental copper and iron losses, harmonic copper and iron losses, magnet loss, and inverter losses. Therefore, it has the capability to always guarantee maximum efficiency control. A highly trusted machine model is built using finite element analysis (FEA). This model considers accurately the magnetic saturation, spatial harmonics, and iron loss effect. The overall system efficiency is estimated online based on the accurate determination of system loss, and then the optimum current angle is defined online for the maximum efficiency per ampere (MEPA) control. A series of results is conducted to show the effectiveness and fidelity of proposed method. The results show the superior performance of proposed method over the conventional offline efficiency optimization methods.
A new bidirectional multilevel inverter topology with a high number of voltage levels with a very reduced number of power components is proposed in this paper. Only TEN power switches and four asymmetric DC voltage sources are used to generate 25 voltage levels in this new topology. The proposed multilevel converter is more suitable for e-mobility and photovoltaic applications where the overall energy source can be composed of a few units/associations of several basic source modules. Several benefits are provided by this new topology: Highly sinusoidal current and voltage waveforms, low Total Harmonic Distortion, very low switching losses, and minimum cost and size of the device. For optimum control of this 25-level voltage inverter, a special Modified Hybrid Modulation technique is performed. The proposed 25-level inverter is compared to various topologies published recently in terms of cost, the number of active power switches, clamped diodes, flying capacitors, DC floating capacitors, and the number of DC voltage sources. This comparison clearly shows that the proposed topology is cost-effective, compact, and very efficient. The effectiveness and the good performance of the proposed multilevel power converter (with and without PWM control) are verified and checked by computational simulations.
The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.
Recently, LCL has become amongst the most attractive filter used for grid-connected flyback inverters. Nonetheless, the switching of power devices in the inverter configuration creates harmonics that affect the end application behavior and might shorten its lifetime. Furthermore, the resonance frequencies produced by the LCL network contribute to the system instability. This paper proposes a step-by-step guide to designing an LCL filter by considering several key aspects such as the resonance frequency and maximum current ripple. A single-phase grid-connected flyback microinverter with an LCL filter was designed then constructed in the MATLAB/Simulink environment. Several different parameter variations and damping solutions were used to analyze the performance of the circuit. The simulation result shows a promising total harmonic distortion (THD) value below 5% and harmonic suppression up to 14%.
Mainly the DC motors are employed in most of the application. The main objective is to Regulate the DC motor system. A motor which displays the appearances of a DC motor but there is no commutator and brushes is called as brushless DC motor. These motors are widespread to their compensations than other motors in relationships of dependability, sound, efficiency, preliminary torque and longevity. To achieve the operation more reliable and less noisy, brushless dc motors are employed. In the proposed work, dissimilar methods of speed control are analysed. In real time submission of speed control of BLDC motor, numerous strategies are executed for the speed control singularity. The modified approaches are the employment of PI controller, use of PID controller and proposed current controller.
The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.
Partial Shading Detection and MPPT Controller for Total Cross Tied Photovolta...IDES Editor
This paper present Maximum Power Point Tracking
(MPPT) controller for solving partial shading problems in
photovoltaic (PV) systems. It is well-known that partial shading
is often encountered in PV system issue with many
consequences. In this research, PV array is connected using
TCT (total cross-tied) configuration including sensors to
measure voltage and currents. The sensors provide inputs for
MPPT controller in order to achieve optimum output power.
The Adaptive Neuro Fuzzy Inference System (ANFIS) is
utilized in this paper as the controller methods. Then, the
output of MPPT controller is the optimum power duty cycle
(α) to drive the performance DC-DC converter. The simulation
shows that the proposed MPPT controller can provide PV
voltage (VMPP) nearly to the maximum power point voltage.
The accuracy of our proposed method is measured by
performance index defined as Mean Absolute Percentage Error
(MAPE). In addition, the main purpose of this work is to
present a new method for detecting partial condition of
photovoltaic TCT configuration using only 3 sensors. Thus,
this method can streamline the time and reduce operating
costs.
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...IJECEIAES
One of the issues of grid-connected photovoltaic systems is the effect of the partial shading on the key parameters and performance of the system. In practice, a share of the entire PV panel may shadded because of the various reasons, inevitably. In this case, the key parameters of the system output are affected with respect to the shading extent and paradigm. In this paper, the effects of the various partial shading patterns on the ouput of the system are examined. This is performed by deriving relevant equations and appropriate modeling of the system and defining different scenarios. The analysis on the system performance is carried out on the dominant output parameters including panel voltage, panel power, and total harmonic distortion (THD) of the inverter. Also, the study considers the effect of using bypass diodes in the panels or not. Addintionally, to compare derived conclusions, the study is implementd on a practical system. The set up is made up of a 7-level multilevel inverter, a Z-source converter, and 1 kW lateral circuitry. The real world test results of the study demonstrate a negligible deviation compared to the simulation results.
An improved luo converter for high power applicationseSAT Journals
Abstract
Power conversion is one of the major requirements in various industries and in daily life. Among various types of power
conversion, DC-DC conversion has greater importance. DC-DC conversion can be reliably performed using luo converter. It
employs voltage lift technique so that output voltage is increased stage by stage, in arithmetic progression. Luo converter can be
incorporated with the Z network or impedance network so as to ensure simple start up and smooth power conversion. An
impedance network consist of two identical inductors and two identical capacitors connected in ‘X’ shape. Besides power
conversion it also offers filtering operation. The luo converter in this scheme is of switched capacitor type. It helps to provide
regulated output voltage from an unregulated source of power supply. The major benefits of this proposed scheme is that it
combines the advantages of the switched capacitor, voltage lift technique and the impedance network. Hence the proposed scheme
has various advantages such as high power density, larger range of output DC voltage, lower or no inrush current, lower
harmonic injection, simple circuit, high voltage transfer gain, can process upto several tens of watts of power. The simulation
analysis and the hardware implementation shows that the output voltage obtained is higher than the expected theoretical value.
i.e, it is the highly boosted voltage output.
Keywords: Z-network, boost voltage, voltage lift technique
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterIJECEIAES
The extensive use of fossil fuel is destroying the balance of nature that could lead to many problems in the forthcoming era. Renewable energy resources are a ray of hope to avoid possible destruction. Smart grid and distributed power generation systems are now mainly built with the help of renewable energy resources. The integration of renewable energy production system with the smart grid and distributed power generation is facing many challenges that include addressing the issue of isolation and power quality. This paper presents a new approach to address the aforementioned issues by proposing a hybrid bypass technique concept to improve the overall performance of the grid-tied inverter in solar power generation. The topology with the proposed technique is presented using traditional H5, oH5 and H6 inverter. Comparison of topologies with literature is carried out to check the feasibility of the method proposed. It is found that the leakage current of all the proposed inverters is 9 mA and total harmonic distortion is almost about 2%. The proposed topology has good efficiency, common mode and differential mode characteristics.
Enhanced MPPT Technique For DC-DC Luo Converter Using Model Predictive Contro...IJERD Editor
The present study explored an enhanced maximum power point tracking technique which ensures fast tracking in PV systems. This system represents a Model Predictive Control (MPC) MPPT technique. Extracting the maximum power from PV systems has been widely investigated. The main benefaction of this article is an improvement of the Perturb and Observe (P&O) method through a fixed step predictive control under measured fast solar radiation. The preferred predictive control to achieve Maximum Power Point (MPP) speeds up the control loop since it predicts error before the switching signal is applied to the DC-DC Luo converter. Comparing the improved technique to the conventional P&O method indicates significant improvement in PV system performance. The proposed MPC-MPPT technique for a Luo converter is implemented using the MAT LAB SIMULINK
Development and Analysis of Fuzzy Control for MPPT Based Photovoltaic SystemIJERD Editor
In PV system control of Power electronics converters are very essential for the efficient utilization
of the solar System. This paper proposes modified Perturb & Observe Maximum power point tracking (MPPT)
with a fuzzy controller for DC-DC boost converter control in Photovoltaic system under shading and varying
atmospheric conditions. This paper proposes a different approach for MPPT of PV system so as to obtain
maximum power from PV system. In conventional methods, tracking power contains oscillation in the output
power. The Simulation and modeling of Photovoltaic system along with proposed algorithm are done using
MATLAB/SIMLINK software. Form Simulation results shows that P & O based fuzzy controller algorithm is
transient state is fast, less fluctuations and smooth in signal of generated power.
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...IJECEIAES
This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.
This paper provides a new approach to reducing high-order harmonics in 400 Hz inverter using a three-level neutral-point clamped (NPC) converter. A voltage control loop using the harmonic compensation combined with NPC clamping diode control technology. The capacitor voltage imbalance also causes harmonics in the output voltage. For 400 Hz inverter, maintain a balanced voltage between the two input (direct current) (DC) capacitors is difficult because the pulse width modulation (PWM) modulation frequency ratio is low compared to the frequency of the output voltage. A method of determining the current flowing into the capacitor to control the voltage on the two balanced capacitors to ensure fast response reversal is also given in this paper. The combination of a high-harmonic resonator controller and a neutral-point voltage controller working together on the 400 Hz NPC inverter structure is given in this paper.
With the dominating utility of the internet, it becomes critical to manage the efficiency and reliability of telecom and datacenter, as the power consumption of the involved equipment also increases. Much power being wasted through the power conversion stages by converting AC voltage to DC voltage and then stepping down to lower voltages to connect to information and communication technology (ICT) equipment. 48/12 VDC is the standard DC bus architecture to serve the end utility equipment. This voltage level is further processed to multiple lower voltages to power up the internal auxiliary circuits. Power losses are involved when it is converted from higher voltage to lower voltages. Therefore, the efficiency of power conversion is lower. There is a need to increase the efficiency by minimizing the power losses which occur due to the conversion stages. Different methods are available to increase the efficiency of a system by optimizing the converter topologies, semiconductor materials and control methods. There is another possibility of increasing the efficiency by changing the architecture of a system by increasing the DC bus voltage to higher voltages to optimize the losses. This paper presents a review of available high voltage options for telecom power distribution and developments, implementations and challenges across the world.
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.
Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.
This paper presents simulation and experimental results of anti-windup PI controller to improve induction machine speed control based on direct torque control (DTC) strategy. Problems like rollover can arise in conventional PI controller due to saturation effect. In order to avoid such problems anti-windup PI controller is presented. This controller is simple for implementation in practice. The proposed anti-windup PI controller demonstrates better dynamic step changes response in speed in terms of overshoots. All simulation work was done using Simulink in the MATLAB software. The experimental results were obtained by practical implementation on a dSPACE 1104 board for a 1.5 KW induction machine. Simulation and experimental results have proven a good performance and verified the validity of the presented control strategy.
Optimizing of the installed capacity of hybrid renewable energy with a modifi...IJECEIAES
The lack of wind speed capacity and the emission of photons from sunlight are the problem in a hybrid system of photovoltaic (PV) panels and wind turbines. To overcome this shortcoming, the incremental conductance (IC) algorithm is applied that could control the converter work cycle and the switching of the buck boost therefore maximum efficiency of maximum power point tracking (MPPT) is reached. The operation of the PV-wind hybrid system, consisting of a 100 W PV array device and a 400 W wind subsystem, 12 V/100 Ah battery energy storage and LED, the PV-wind system requires a hybrid controller for battery charging and usage and load lamp and it’s conducted in experimental setup. The experimental has shown that an average increase in power generated was 38.8% compared to a single system of PV panels or a single wind turbine sub-system. Therefore, the potential opportunities for increasing power production in the tropics wheather could be carried out and applied with this model.
This paper presents an online efficiency optimization method for the interior permanent magnet synchronous motor (IPMSM) drive system in an electric vehicle (EV). The proposed method considers accurately the total system losses including fundamental copper and iron losses, harmonic copper and iron losses, magnet loss, and inverter losses. Therefore, it has the capability to always guarantee maximum efficiency control. A highly trusted machine model is built using finite element analysis (FEA). This model considers accurately the magnetic saturation, spatial harmonics, and iron loss effect. The overall system efficiency is estimated online based on the accurate determination of system loss, and then the optimum current angle is defined online for the maximum efficiency per ampere (MEPA) control. A series of results is conducted to show the effectiveness and fidelity of proposed method. The results show the superior performance of proposed method over the conventional offline efficiency optimization methods.
A new bidirectional multilevel inverter topology with a high number of voltage levels with a very reduced number of power components is proposed in this paper. Only TEN power switches and four asymmetric DC voltage sources are used to generate 25 voltage levels in this new topology. The proposed multilevel converter is more suitable for e-mobility and photovoltaic applications where the overall energy source can be composed of a few units/associations of several basic source modules. Several benefits are provided by this new topology: Highly sinusoidal current and voltage waveforms, low Total Harmonic Distortion, very low switching losses, and minimum cost and size of the device. For optimum control of this 25-level voltage inverter, a special Modified Hybrid Modulation technique is performed. The proposed 25-level inverter is compared to various topologies published recently in terms of cost, the number of active power switches, clamped diodes, flying capacitors, DC floating capacitors, and the number of DC voltage sources. This comparison clearly shows that the proposed topology is cost-effective, compact, and very efficient. The effectiveness and the good performance of the proposed multilevel power converter (with and without PWM control) are verified and checked by computational simulations.
The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.
Recently, LCL has become amongst the most attractive filter used for grid-connected flyback inverters. Nonetheless, the switching of power devices in the inverter configuration creates harmonics that affect the end application behavior and might shorten its lifetime. Furthermore, the resonance frequencies produced by the LCL network contribute to the system instability. This paper proposes a step-by-step guide to designing an LCL filter by considering several key aspects such as the resonance frequency and maximum current ripple. A single-phase grid-connected flyback microinverter with an LCL filter was designed then constructed in the MATLAB/Simulink environment. Several different parameter variations and damping solutions were used to analyze the performance of the circuit. The simulation result shows a promising total harmonic distortion (THD) value below 5% and harmonic suppression up to 14%.
Mainly the DC motors are employed in most of the application. The main objective is to Regulate the DC motor system. A motor which displays the appearances of a DC motor but there is no commutator and brushes is called as brushless DC motor. These motors are widespread to their compensations than other motors in relationships of dependability, sound, efficiency, preliminary torque and longevity. To achieve the operation more reliable and less noisy, brushless dc motors are employed. In the proposed work, dissimilar methods of speed control are analysed. In real time submission of speed control of BLDC motor, numerous strategies are executed for the speed control singularity. The modified approaches are the employment of PI controller, use of PID controller and proposed current controller.
The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.
Partial Shading Detection and MPPT Controller for Total Cross Tied Photovolta...IDES Editor
This paper present Maximum Power Point Tracking
(MPPT) controller for solving partial shading problems in
photovoltaic (PV) systems. It is well-known that partial shading
is often encountered in PV system issue with many
consequences. In this research, PV array is connected using
TCT (total cross-tied) configuration including sensors to
measure voltage and currents. The sensors provide inputs for
MPPT controller in order to achieve optimum output power.
The Adaptive Neuro Fuzzy Inference System (ANFIS) is
utilized in this paper as the controller methods. Then, the
output of MPPT controller is the optimum power duty cycle
(α) to drive the performance DC-DC converter. The simulation
shows that the proposed MPPT controller can provide PV
voltage (VMPP) nearly to the maximum power point voltage.
The accuracy of our proposed method is measured by
performance index defined as Mean Absolute Percentage Error
(MAPE). In addition, the main purpose of this work is to
present a new method for detecting partial condition of
photovoltaic TCT configuration using only 3 sensors. Thus,
this method can streamline the time and reduce operating
costs.
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...IJECEIAES
One of the issues of grid-connected photovoltaic systems is the effect of the partial shading on the key parameters and performance of the system. In practice, a share of the entire PV panel may shadded because of the various reasons, inevitably. In this case, the key parameters of the system output are affected with respect to the shading extent and paradigm. In this paper, the effects of the various partial shading patterns on the ouput of the system are examined. This is performed by deriving relevant equations and appropriate modeling of the system and defining different scenarios. The analysis on the system performance is carried out on the dominant output parameters including panel voltage, panel power, and total harmonic distortion (THD) of the inverter. Also, the study considers the effect of using bypass diodes in the panels or not. Addintionally, to compare derived conclusions, the study is implementd on a practical system. The set up is made up of a 7-level multilevel inverter, a Z-source converter, and 1 kW lateral circuitry. The real world test results of the study demonstrate a negligible deviation compared to the simulation results.
An improved luo converter for high power applicationseSAT Journals
Abstract
Power conversion is one of the major requirements in various industries and in daily life. Among various types of power
conversion, DC-DC conversion has greater importance. DC-DC conversion can be reliably performed using luo converter. It
employs voltage lift technique so that output voltage is increased stage by stage, in arithmetic progression. Luo converter can be
incorporated with the Z network or impedance network so as to ensure simple start up and smooth power conversion. An
impedance network consist of two identical inductors and two identical capacitors connected in ‘X’ shape. Besides power
conversion it also offers filtering operation. The luo converter in this scheme is of switched capacitor type. It helps to provide
regulated output voltage from an unregulated source of power supply. The major benefits of this proposed scheme is that it
combines the advantages of the switched capacitor, voltage lift technique and the impedance network. Hence the proposed scheme
has various advantages such as high power density, larger range of output DC voltage, lower or no inrush current, lower
harmonic injection, simple circuit, high voltage transfer gain, can process upto several tens of watts of power. The simulation
analysis and the hardware implementation shows that the output voltage obtained is higher than the expected theoretical value.
i.e, it is the highly boosted voltage output.
Keywords: Z-network, boost voltage, voltage lift technique
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterIJECEIAES
The extensive use of fossil fuel is destroying the balance of nature that could lead to many problems in the forthcoming era. Renewable energy resources are a ray of hope to avoid possible destruction. Smart grid and distributed power generation systems are now mainly built with the help of renewable energy resources. The integration of renewable energy production system with the smart grid and distributed power generation is facing many challenges that include addressing the issue of isolation and power quality. This paper presents a new approach to address the aforementioned issues by proposing a hybrid bypass technique concept to improve the overall performance of the grid-tied inverter in solar power generation. The topology with the proposed technique is presented using traditional H5, oH5 and H6 inverter. Comparison of topologies with literature is carried out to check the feasibility of the method proposed. It is found that the leakage current of all the proposed inverters is 9 mA and total harmonic distortion is almost about 2%. The proposed topology has good efficiency, common mode and differential mode characteristics.
Enhanced MPPT Technique For DC-DC Luo Converter Using Model Predictive Contro...IJERD Editor
The present study explored an enhanced maximum power point tracking technique which ensures fast tracking in PV systems. This system represents a Model Predictive Control (MPC) MPPT technique. Extracting the maximum power from PV systems has been widely investigated. The main benefaction of this article is an improvement of the Perturb and Observe (P&O) method through a fixed step predictive control under measured fast solar radiation. The preferred predictive control to achieve Maximum Power Point (MPP) speeds up the control loop since it predicts error before the switching signal is applied to the DC-DC Luo converter. Comparing the improved technique to the conventional P&O method indicates significant improvement in PV system performance. The proposed MPC-MPPT technique for a Luo converter is implemented using the MAT LAB SIMULINK
Development and Analysis of Fuzzy Control for MPPT Based Photovoltaic SystemIJERD Editor
In PV system control of Power electronics converters are very essential for the efficient utilization
of the solar System. This paper proposes modified Perturb & Observe Maximum power point tracking (MPPT)
with a fuzzy controller for DC-DC boost converter control in Photovoltaic system under shading and varying
atmospheric conditions. This paper proposes a different approach for MPPT of PV system so as to obtain
maximum power from PV system. In conventional methods, tracking power contains oscillation in the output
power. The Simulation and modeling of Photovoltaic system along with proposed algorithm are done using
MATLAB/SIMLINK software. Form Simulation results shows that P & O based fuzzy controller algorithm is
transient state is fast, less fluctuations and smooth in signal of generated power.
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...IJECEIAES
This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.
Maximum Power Point Tracking Method for Single Phase Grid Connected PV System...Ali Mahmood
Ordinary technique fail to ensure successful tracking of the maximum power point under partial shading conditions (PSC). This performs in significant reduction in the power generated as well as the reliability of the photovoltaic energy production system. For the effective utilization of solar panel under partial shading condition (PSC), maximum power point tracking method (MPPT) is required.
The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m2 and 1000 W/m2), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.
Improving efficiency of Photovoltaic System with Neural Network Based MPPT Co...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.
Fuzzy Sliding Mode Control for Photovoltaic SystemIJPEDS-IAES
In this study, a fuzzy sliding mode control (FSMC) based maximum power point tracking strategy has been applied for photovoltaic (PV) system. The key idea of the proposed technique is to combine the performances of the fuzzy logic and the sliding mode control in order to improve the generated power for a given set of climatic conditions. Different from traditional sliding mode control, the developed FSMC integrates two parts. The first part uses a fuzzy logic controller with two inputs and 25 rules as an equivalent controller while the second part is designed for an online adjusting of the switching controller’s gain using a fuzzy tuner with one input and one output. Simulation results showed the effectiveness of the proposed approach achieving maximum power point. The fuzzy sliding mode (FSM) controller takes less time to track the maximum power point, reduced the oscillation around the operating point and also removed the chattering phenomena that could lead to decrease the efficiency of the photovoltaic system.
This paper investigates the performances of different photovoltaic (PV) array under several shading condition. Four types of photovoltaic array configuration scheme which are ‘Series’ (S), Series-Parallel’ (SP), Total-Cross-Tied’ (TCT), and ‘Bridge-Link’ (BL) array topologies were tested by applying a 6x6 PV array under 6 different shading scenarios. The modeling is developed using Matlab/Simulink. The performances and output characteristics of photovoltaic array are compared and analyzed. System engineer can use the detailed characteristics of different array configuration to approximate the outcome power and pick the best configuration of the system by concerning the current natural condition to enhance the overall efficiency.
This project proposes a simplified PV module simulator with MPPT. The PV model is designed in Matlab/Simulink based on various mathematical equations. This paper explains the use of MPPT technique in a photovoltaic system. The MPPT is implemented by incremental conductance or perturbation and observation methods. The overall system is designed, developed and validated by using MATLAB/SIMULINK
This paper propose a new approach to determine a linear mathematical model of a PV moduel based on an accurate nonlinear model . In this study, electrical parameters at only one operating condition are calculated based on an accurate model. Then, first-order Taylor series approximations apply on the nonlinear model to estimate the proposed model at any operating conditionts. The proposed method determines the number of iteration times. This decreases calculation time and the speed of numerical convergence will be increased. And, it is observed that owing to this method, the system converged and the problem of failing to solve the system because of inappropriate initial values is eliminated. The proposed model is requested in order to allow photovoltaic plants simulations using low-cost computer platforms. The effectiveness of the proposed model is demonstrated for different temperature and irradiance values through conducting a comparison between result of the proposed model and experimental results obtained from the module data-sheet information.
Modeling and Simulation of a Photovoltaic Field for 13 KW IJECEIAES
In the future solar energy will be very important source of energy. More than 45% of needed energy in the world will be generated by photovoltaic module. Therefore it is necessary to concentrate our efforts in order to reduce the application costs .This work investigates on the modeling of a Stand Alone Power System focusing on Photovoltaic energy systems. We introduce the models of the system components Therefore a maximum power point tracking (MPPT) technique is needed to track the peak power in order to make full utilization of PV array output power under varying conditions. This paper presents two widely-adopted MPPT algorithms, perturbation & observation (P&O) and incremental conductance (IC).A complete characterization and simulation model was implemented in the MatlabSimulink environment. Design complete system is done to analyze its behavior for a typical year, with the aim to evaluate their energetic effectiveness.
An Experimental Study of P&O MPPT Control for Photovoltaic SystemsIJPEDS-IAES
Tracking the maximum power point plays an important role for the optimization of the solar energy. The objective here is to study experimentally optimizing photovoltaic (PV) systems connected to a DC-DC converter (Boost) and a resistive load. For this, tests were conducted to determine the law of open loop control (power versus the duty cycle) for different solar irradiance values and load with an approximately constant cell temperature. The obtained results showed that the power passes through a maximum point. In order to extract the maximum power, for different values of solar irradiance and load, an MPPT control "Perturb and Observe" P & O has been implemented on a DSPACE 1104. The experimental results showed the performance of the method suggested.
Tunicate swarm algorithm based maximum power point tracking for photovoltaic...IJECEIAES
A new maximum power point tracking (MPPT) technique based on the bioinspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is compared with perturb & observe-based MPPT (P&O-MPPT) and particle swarm optimization-based MPPT (PSO-MPPT). The TSA-MPPT has an accuracy of 99% and has a reasonably practical capability compared to the MPPT technique, which already existed before.
Maximum power point tracking based on improved spotted hyena optimizer for s...IJECEIAES
The conventional maximum power point tracking (MPPT) method such as perturb and observe (P&O) under partial shading conditions with non-uniform irradiation, can get trapped on local maximum power point (LMPP) and cannot reach global maximum power point (GMPP). This study proposes a bio-inspired metaheuristic algorithm spotted hyena optimizer (SHO) and improved SHO as a new MPPT technique. The proposed SHO-MPPT and improved SHO-MPPT are used to extract GMPP from solar photovoltaic (PV) arrays operated under uniform irradiation and non-uniform irradiation. Simulation with Powersim (PSIM) and experimental with the emulated PV source were presented. Furthermore, to evaluate the performance of the proposed algorithm, SHO-MPPT is compared with P&O-MPPT and particle swarm optimization (PSO)-MPPT. The SHO-MPPT has an accuracy of 99% and has the good capability, but there are power fluctuations before reaching MPP. Therefore, improved SHO-MPPT was developed to get better results. The improved SHO-MPPT proved high accuracy of 99% and faster than SHO-MPPT and PSO-MPPT in tracking the maximum power point (MPP). Furthermore, there are minor power fluctuations.
3 ijaems nov-2015-9-microcontroller based constant voltage maximum power poin...INFOGAIN PUBLICATION
Microcontroller based maximum power point tracking (MPPT) has been presented for single phase stand alone or grid connected solar inverter applications. The PV array consists of only 12V cell arrangement, thereafter, Discrete Comparator Circuit, The PIC microcontroller P16F676 controls the high power switching devices in the proposed MPPT scheme. The Constant Voltage (CV) algorithm continuously searches for the PV voltages in the rapidly changing weather conditions. The less pin and housing microcontroller does it all for the proposed Constant Voltage (CV) MPPT algorithm. The MPAB Simulation proves a very good agreement with the discrete comparator and switching devices for grid voltage, back-up battery charging and temporary load shedding operation. Therefore, until and unless MPPT voltages are in the operating region, the scheme allows grid voltage and back-up battery charging.
Comparison between neural network and P&O method in optimizing MPPT control f...IJECEIAES
The demand for renewable energy has increased because it is considered a clean energy and does not result in any pollution or emission of toxic gases that negatively affect the environment and human health also requiring little maintenance, and emitting no noise, so it is necessary to develop this type of energy and increase its production capacity. In this research a design of maximum power point tracking (MPPT) control method using Neural Network (NN) for photovoltaic system is presented. First we design a standalone PV system linked to dc boost chopper with MPPT by perturbation and observation P&O technique, and then a design of MPPT by using ANN for the same system is presented. Comparative between two control methods are studied. The results explained in constant and adjustable weather settings such as irradiation and temperature. The results exposed that the proposed MPPT by ANN control can improve the PV array efficiency by reduce the oscillation around the MPP that accure in P&O method and so decreases the power losses. As well as decrease the the overshot that accure in transient response, and hence improving the performance of the solar cell.
Similar to A novel optimization of the particle swarm based maximum power point tracking for photovoltaic systems under partially shaded conditions (20)
The aim of this research is the speed tracking of the permanent magnet synchronous motor (PMSM) using an intelligent Neural-Network based adapative backstepping control. First, the model of PMSM in the Park synchronous frame is derived. Then, the PMSM speed regulation is investigated using the classical method utilizing the field oriented control theory. Thereafter, a robust nonlinear controller employing an adaptive backstepping strategy is investigated in order to achieve a good performance tracking objective under motor parameters changing and external load torque application. In the final step, a neural network estimator is integrated with the adaptive controller to estimate the motor parameters values and the load disturbance value for enhancing the effectiveness of the adaptive backstepping controller. The robsutness of the presented control algorithm is demonstrated using simulation tests. The obtained results clearly demonstrate that the presented NN-adaptive control algorithm can provide good trackingperformances for the speed trackingin the presence of motor parameter variation and load application.
This paper presents a fast and accurate fault detection, classification and direction discrimination algorithm of transmission lines using one-dimensional convolutional neural networks (1D-CNNs) that have ingrained adaptive model to avoid the feature extraction difficulties and fault classification into one learning algorithm. A proposed algorithm is directly usable with raw data and this deletes the need of a discrete feature extraction method resulting in more effective protective system. The proposed approach based on the three-phase voltages and currents signals of one end at the relay location in the transmission line system are taken as input to the proposed 1D-CNN algorithm. A 132kV power transmission line is simulated by Matlab simulink to prepare the training and testing data for the proposed 1D- CNN algorithm. The testing accuracy of the proposed algorithm is compared with other two conventional methods which are neural network and fuzzy neural network. The results of test explain that the new proposed detection system is efficient and fast for classifying and direction discrimination of fault in transmission line with high accuracy as compared with other conventional methods under various conditions of faults.
Among the most widespread renewable energy sources is solar energy; Solar panels offer a green, clean, and environmentally friendly source of energy. In the presence of several advantages of the use of photovoltaic systems, the random operation of the photovoltaic generator presents a great challenge, in the presence of a critical load. Among the most used solutions to overcome this problem is the combination of solar panels with generators or with the public grid or both. In this paper, an energy management strategy is proposed with a safety aspect by using artificial neural networks (ANNs), in order to ensure a continuous supply of electricity to consumers with a maximum solicitation of renewable energy.
In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade when the blades are defective. A rotor-disk-blade system with 6 regular blades and 5 blades with various defects was constructed. Second, the ANN was applied to classify the different x- and y-axis lateral vibrations due to different blade faults. The results based on training and testing with different data samples of the fault types indicate that the ANN is robust and can effectively identify and distinguish different blade faults caused by lateral vibrations in a rotor. As compared to the literature, the present paper presents a novel work of identifying and classifying various rotating blade faults commonly encountered in rotating machines using ANN. Experimental data of lateral vibrations of the rotor-disk-blade system in both x- and y-directions are used for the training and testing of the network.
This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. is proposed to find the optimal power flow (OPF). To solve this problem, we will apply the ABC algorithm to a power system incorporating wind power. The proposed approach is applied on a standard IEEE-30 system with wind farms located on different buses and with different penetration levels to show the impact of wind farms on the system in order to obtain the optimal settings of control variables of the OPF problem. Based on technical results obtained, the ABC algorithm is shown to achieve a lower cost and losses than the other methods applied, while incorporating wind power into the system, high performance would be gained.
The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum tracking point. Weather conditions and situation observed through AI decision making with the help of IP algorithms. The presented advance adaptation is analyzed and established via experimental effects which might be made available on the memory of the cloud carrier for systematization. The proposed system improve power gain by 59.21% and 10.32% compare to stable system (SS) and two-axis solar following system (TASF) respectively. The reduced tracking error of IoT based Two-axis solar following system (IoT-TASF) reduces their azimuth angle error by 0.20 degree.
Kosovo has limited renewable energy resources and its power generation sector is based on fossil fuels. Such a situation emphasizes the importance of active research and efficient use of renewable energy potential. According to the analysis of meteorological data for Kosovo, it can be concluded that among the most attractive potential wind power sites are the locations known as Kitka (42° 29' 41" N and 21° 36' 45" E) and Koznica (42° 39′ 32″ N, 21° 22′30″E). The two terrains in which the analysis was carried out are mountain areas, with altitudes of 1142 m (Kitka) and 1230 m (Koznica). the same measuring height, about 84 m above the ground, is obtained for these average wind speeds: Kitka 6,667 m/s and Koznica 6,16 m/s. Since the difference in wind speed is quite large versus a difference in altitude that is not being very large, analyses are made regarding the terrain characteristics including the terrain relief features. In this paper it will be studied how much the roughness of the terrain influences the output energy. Also, that the assumption to be taken the same as to how much they will affect the annual energy produced.
Large-scale grid-tied photovoltaic (PV) station are increasing rapidly. However, this large penetration of PV system creates frequency fluctuation in the grid due to the intermittency of solar irradiance. Therefore, in this paper, a robust droop control mechanism of the battery energy storage system (BESS) is developed in order to damp the frequency fluctuation of the multi-machine grid system due to variable active power injected from the PV panel. The proposed droop control strategy incorporates frequency error signal and dead-band for effective minimization of frequency fluctuation. The BESS system is used to consume/inject an effective amount of active power based upon the frequency oscillation of the grid system. The simulation analysis is carried out using PSCAD/EMTDC software to prove the effectiveness of the proposed droop control-based BESS system. The simulation result implies that the proposed scheme can efficiently curtail the frequency oscillation.
This paper focuses on the modeling and control of a wind energy conversion chain using a permanent magnet synchronous machine. This system behaves a turbine, a generator, DC/DC and DC/AC power converters. These are connected on both sides to the DC bus, where the inverter is followed by a filter which is connected to the grid. In this paper, we have been used two types of controllers. For the stator side converter, we consider the Takagi-Sugeno approach where the parameters of controller have been computed by the theory of linear matrix inequalities. The stability synthesis has been checked using the Lyapunov theory. According to the grid side converter, the proportional integral controller is exploited to keep a constant voltage on the DC bus and control both types of powers. The simulation results demonstrate the robustness of the approach used.
The objective of this paper is to provide an overview of the current state of renewable energy resources in Bangladesh, as well as to examine various forms of renewable energies in order to gain a comprehensive understanding of how to address Bangladesh's power crisis issues in a sustainable manner. Electricity is currently the most useful kind of energy in Bangladesh. It has a substantial influence on a country's socioeconomic standing and living standards. Maintaining a stable source of energy at a cost that is affordable to everyone has been a constant battle for decades. Bangladesh is blessed with a wealth of natural resources. Bangladesh has a huge opportunity to accelerate its economic development while increasing energy access, livelihoods, and health for millions of people in a sustainable way due to the renewable energy system.
A stable operation of wind turbines connected to the grid is an essential requirement to ensure the reliability and stability of the power system. To achieve such operational objective, installing static synchronous compensator static synchronous compensator (STATCOM) as a main compensation device guarantees the voltage stability enhancement of the wind farm connected to distribution network at different operating scenarios. STATCOM either supplies or absorbs reactive power in order to ensure the voltage profile within the standard-margins and to avoid turbine tripping, accordingly. This paper present new study that investigates the most suitable-location to install STATCOM in a distribution system connected wind farm to maintain the voltage-levels within the stability margins. For a large-scale squirrel cage induction generator squirrel-cage induction generator (SCIG-based) wind turbine system, the impact of STATCOM installation was tested in different places and voltage-levels in the distribution system. The proposed method effectiveness in enhancing the voltage profile and balancing the reactive power is validated, the results were repeated for different scenarios of expected contingencies. The voltage profile, power flow, and reactive power balance of the distribution system are observed using MATLAB/Simulink software.
This paper presents a new simplified cascade multiphase DC-DC buck power converter suitable for low voltage and large current applications. Cascade connection enables very low voltage ratio without using very small duty cycles nor transformers. Large current with very low ripple content is achieved by using the multiphase technique. The proposed converter needs smaller number of components compared to conventional cascade multiphase DC-DC buck power converters. This paper also presents useful analysis of the proposed DC-DC buck power converter with a method to optimize the phase and cascade number. Simulation and experimental results are included to verify the basic performance of the proposed DC-DC buck power converter.
This paper presents a novel shunt active power filter (SAPF). The power converter that is used in this SAPF is constructed from a four-leg asymmetric multi-level cascaded H-bridge (CHB) inverter that is fed from a photovoltaic source. A three-dimensional space vector modulation (3D-SVPWM) technique is adopted in this work. The multi-level inverter can generate 27-level output with harmonic content is almost zero. In addition to the capability to inject reactive power and mitigating the harmonics, the proposed SAPF has also, the ability to inject real power as it is fed from a PV source. Moreover, it has a fault-tolerant capability that makes the SAPF maintaining its operation under a loss of one leg of the multi-level inverter due to an open-circuit fault without any degradation in the performance. The proposed SAPF is designed and simulated in MATLAB SIMULINK using a single nonlinear load and the results have shown a significant reduction in total harmonics distortion (THD) of the source current under the normal operating condition and post a failure in one phase of the SAPF. Also, similar results are obtained when IEEE 15 bus network is used.
Transmission lines react to an unexpected increase in power, and if these power changes are not controlled, some lines will become overloaded on certain routes. Flexible alternating current transmission system (FACTS) devices can change the voltage range and phase angle and thus control the power flow. This paper presents suitable mathematical modeling of FACTS
devices including static var compensator (SVC) as a parallel compensator and high voltage direct current (HVDC) bonding. A comprehensive modeling of SVC and HVDC bonding in the form of simultaneous applications for power flow is also performed, and the effects of compensations are compared. The comprehensive model obtained was implemented on the 5-bus test system in MATLAB software using the Newton-Raphson method, revealed that generators have to produce more power. Also, the addition of these devices stabilizes the voltage and controls active and reactive power in the network.
Environmental factors such as air pollution and increase in global warming by using polluting fuels are the most important reasons of using renewable and clean energy that runs in global community. Wind energy is one of the most suitable and widely used kind of renewable energy which had been in consideration so well. This paper introduces an electric power generation
system of wind based on Y-source and improved Y-source inverter to deliver optimal electrical power to the network. This new converter is from impedance source converters family. This presented converter has more degrees of freedom to adjust voltage gain and modulation. Also, by limiting the range of simultaneous control (shooting through) while it maintains the
highest power of maximizer, it can operate in higher modulation range. This causes the reduce of stress in switching and thus it will improve the quality of output. Recommended system had been simulated in MATLAB/Simulink and shown results indicate accurate functionality.
A hybrid DC/DC/AC converter connected to the grid without a three-phase transformer is controlled. The decentralized control method is applied to the hybrid DC-DC converter such that the maximum power of PV flows to the grid side. This controller must charge and discharge the battery at the proper time. It must also regulate DC-link voltage. An additional advantage of the proposed control is that the three-phase inverter does not need a separate controller such as PWM and SPWM. A simple technique is used for creating the desired phase shift in the three-phase inverter, which makes the active and reactive power of the inverter controllable. A new configuration is also proposed to transmit and manage the generation power of PV. In this scheme, the battery and fuel cell are employed as an auxiliary source to manage the generation power of PV. Finally, a real-time simulation is performed to verify the effectiveness of the proposed controller and system by considering the real characteristics of PV and FC.
This paper presents an analytical comparison between two-level inverter and three-level neutral point diode clamped inverters for electric vehicle traction purposes. The main objective of the research is to declare the main differences in the performance of the two inverter schemes in terms of the switching and conduction losses over an entire domain of the modulation index and the phase angle distribution, steady-state operation, transient operation at a wide range of speed variation, and the total harmonic distortion THD% of the line voltage output waveform. It also declares the analysis of the three-level neutral point diode clamped inverter (NPCI) obstacle and the unbalance of the DC-link capacitor voltages. The introduced scheme presents an Induction Motor (IM) drive for electric vehicle (EV) applications. Considering the dynamic operation of the EV, the speed of the three-phase induction motor is controlled using a scalar V/Hz control for the full range of the IM power factor (PF). A comprehensive MATLAB/Simulink model for the proposed scheme is established.
The study made in this paper concerns the use of the voltage-oriented control (VOC) of three-phase pulse width modulation (PWM) rectifier with constant switching frequency. This control method, called voltage-oriented controlwith space vector modulation (VOC-SVM). The proposed control scheme has been founded on the transformation between stationary (α-β) and and synchronously rotating (d-q) coordinate system, it is based on two cascaded control loops so that a fast inner loop controls the grid current and an external loop DC-link voltage, while the DC-bus voltage is maintained at the desired level and ansured the unity power factor operation. So, the stable state performance and robustness against the load’s disturbance of PWM rectifiers are boths improved. The proposed scheme has been implemented and simulated in MATLAB/Simulink environment. The control system of the VOC-SVM strategy has been built based on dSPACE system with DS1104 controller board. The results obtained show the validity of the model and its control method. Compared with the conventional SPWM method, the VOC-SVM ensures high performance and fast transient response.
The traction inverter is a crucial power device in the electric vehicle’s powertrain, and its failure is intolerable as it would considerably compromise the system’s safety. For more reliable driving, installing a traction inverter that is sufficiently resistant to electrical failure is inherent. Due to its compact size and the small number of switches incorporated in three-phase four-switch inverter, this modular topology was used to compensate for the open switch’s failure. However, it is known to have manifold weaknesses mainly distinguished in the low-frequency region. This paper introduces a new fault-tolerant indirect control that handles the IGBT’s failure constituting the traction inverter. The fault compensator is designed first based on the Proportional Integral regulator combined with the notch filter to mitigate the current imbalance and restore the DC voltage equilibrium.Furthermore, to conceive a comprehensive fault-tolerant control, there must therefore contain an accurate fault detector. In this regard, an uncomplicated fault diagnosis method based on the current spectral analysis has been performed. The effectiveness of the submitted controller was validated by simulation using Matlab.
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A novel optimization of the particle swarm based maximum power point tracking for photovoltaic systems under partially shaded conditions
1. International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol. 12, No. 3, September 2021, pp. 1795~1803
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v12.i3.pp1795-1803 1795
Journal homepage: http://ijpeds.iaescore.com
A novel optimization of the particle swarm based maximum
power point tracking for photovoltaic systems under partially
shaded conditions
M. Atig, Y. Miloud, A. Miloudi, A. Merah
Department of Electrical Engineering, Tahar Moulay University, Saida, Algeria
Article Info ABSTRACT
Article history:
Received Jan 14, 2020
Revised May 28, 2021
Accepted Jul 19, 2021
When the irradiance distribution over the photovoltaic panels is uniform, the
pursuit of the maximum power point is not reached, which has allowed
several researchers to use traditional MPPT techniques to solve this problem
Among these techniques a PSO algorithm is used to have the maximum
global power point (GMPPT) under partial shading. On the other hand, this
one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper
we have treated another technique based on a new modified PSO algorithm
so that the power can reach its maximum point. The PSO algorithm is based
on the heuristic method which guarantees not only the obtaining of MPPT
but also the simplicity of control and less expensive of the system. The
results are obtained using MATLAB show that the proposed modified PSO
algorithm performs better than conventional PSO and is robust to different
partial shading models.
Keywords:
Modified P&O algorithm
Modified PSO algorithm
MPPT control
Partial shading
PV array
PV module This is an open access article under the CC BY-SA license.
Corresponding Author:
Atig Mebarka
Departement of Electrical Engineering
Dr Moulay Tahar University of Saida
20.000 Saida, Algeria
Email: atig_mebarka@yahoo.fr
1. INTRODUCTION
Photovoltaic (PV) is alternative source of clean and renewable energy of high importance to
environmental friendliness and low maintenance cost [1], [2]. The output characteristics of the photovoltaic
generators are not linear because they always vary according to the solar irradiance and the temperature of
the module. However, it is reported in the literature for a system of uniformly shaded photovoltaic panels.
That the performance of perturb and observe(P&O) algorithm in the detecting the MPP is very efficient [3],
[4]. But in the case of partial shading, this algorithm will not achieve its goal. Since the P-V curve has
multiple peaks; evolutionary optimization technique such as Particle Swarm Optimization (PSO) could be
used to detect MPP techniques where conventional algorithms fail to converge under partial shading [5], [6].
In this paper we will propose an improved maximum power point tracking (MPPT) method for the PV
system using a modified PSO algorithm. Particle swarm optimization (MPSO) algorithm is adopted in
detecting the global MPP of a partially shaded PV array [7], [8]. The results obtained from this algorithm will
be compared to the Perturb and Observe for the single peak characteristics of the P-V. A similar comparison
is made for the multi-peak characteristic of P-V between MPSO and MP&O of a partially shaded PV array.
The rest of the paper is organized as follows. In Section 2, the circuit model of PV cell and characteristic of
PV array are presented. The studied PV array system under partially shaded is illustrated in Section 3. MPP
2. ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 12, No. 3, September 2021 : 1795 – 1803
1796
detection using the MP&O algorithm and MPSO are presented in Sections 4. Results are presented and
discussed in Section 5. At the end, conclusion is given in Section 6.
2. MODELING OF A PV ARRAY WITH UNIFORM IRRADIATION
The photovoltaic panel consists of several solar cells. Energy production can be increased by
connecting the PV in series or in parallel. The circuit of a photovoltaic cell is shown in Figure 1. The output
PV current depends on the temperature and solar irradiation. The equations given below are used to describe
the modeling of the single PV module [9], [10]. The current (Iph) is given by:
𝐼𝑃𝑉 = 𝐼𝑃ℎ − 𝐼0 (𝑒
𝑉𝑃𝑉+𝑅𝑠𝐼𝑃𝑉
𝑁𝑆𝑉𝑡 − 1) −
𝑉𝑃𝑉+𝑅𝑠𝐼𝑃𝑉
𝑅𝑝
(1)
𝐼𝑃ℎ = 𝐼𝑐𝑐 = 𝐼𝑐𝑐_𝑠𝑡𝑐
𝐺
𝐺𝑠𝑡𝑐
[1 + 𝐾𝐼(𝑇 − 𝑇𝑠𝑡𝑐)] (2)
With
𝑉𝑡 =
𝑘𝑇
𝑞
(3)
𝐼𝑃ℎ = 𝐼𝑆𝑐𝑟
𝐺
𝐺𝑟
(4)
Then (1) becomes:
𝐼𝑃𝑉 = 𝐼𝑠𝑐 − 𝐼0 (𝑒
𝑉𝑃𝑉+𝑁𝑠𝑅𝑠𝐼𝑃𝑉
𝑛𝑉𝑡𝑁𝑠 − 1) −
𝑉𝑃𝑉+𝑁𝑠𝑅𝑠𝐼𝑃𝑉
𝑁𝑠𝑅𝑝
(5)
Figure 1. Equivalent circuit of a PV panel
The panel in parallel and panel in series form a photovoltaic field. The generator voltage V1, the current I1 and the
power P1 under uniform irradiation can be obtained from the voltage Vpv and the current Ipv of the PV module as
follows:
{
𝑉1 = 𝑁𝑠𝑠 × 𝑉𝑃𝑉
𝐼1 = 𝑁𝑝𝑝 × 𝐼𝑃𝑉
𝑃1 = 𝑉𝑃𝑉 × 𝐼1 = 𝑁𝑠𝑠 × 𝑁𝑝𝑝 × 𝑉𝑃𝑉 × 𝐼𝑃𝑉
(6)
Where: Nss and Npp are respectively the series and parallel number of PV modules in the array.
The solution of (5) is obtained, for a grid of values of the current I, by using the bisection method in order to
solve the f(VPV)=0 in the interval [0 Voc] where:
𝑓(𝑉𝑃𝑉) = 𝐼𝑃𝑉 − 𝐼𝑠𝑐 + 𝐼0 (𝑒
𝑉𝑃𝑉+𝑁𝑠𝑅𝑠𝐼𝑃𝑉
𝑛𝑉𝑡𝑁𝑠 − 1) +
𝑉𝑃𝑉+𝑁𝑠𝑅𝑠𝐼𝑃𝑉
𝑁𝑠𝑅𝑝
(7)
3. MODELING OF A PV ARRAY UNDER PARTIAL SHADING
For verify the capability of an algorithm used to detect the global MPP of a partially shaded PV array, it
is important to have a physical PV array assembly or its theoretical model [11], [12]. The challenge in such
3. Int J Pow Elec & Dri Syst ISSN: 2088-8694
A novel optimization of the particle swarm based maximum power point tracking for … (M. Atig)
1797
studies is the need for simulating an enormous Ns and Np connected PV modules simultaneously, because each
PV unit might be subjected to a different irradiance level. Of which a high computational time and therefore
oftentimes becomes challenging to simulate and study these systems. A method to model the power peaks of
partially shaded PV systems using empirical equations is available in the literature [13], [14]. It estimates the
current IPV, voltage VPV and power PPV of the possible peaks shaded partially PV systems. The system under
study is composed of 10×10 PV modules operating under the shading scenario depicted in. Figure 2 shows the
effect on the characteristics of the PV array under partially shading. When the shaded modules receive an
irradiation level of G = 0.1 kW/m2
, the I-V and P-V characteristics are obtained. We can see from this figure
that the P-V curve is formed of three different hills with three maximum power points, two local maximums and
one global maximum. The standard characteristics of the PVs used are shown in Table 1. The simulation is
performed using the one diode model for the solar panel. The simulation is carried out using the one-diode
model for the solar panel. Initially each module receives a uniform irradiance of 1000W/m2
. Four configurations
of C1, C2, C3 and C4 with, uniform irradiation, light shading, medium shading, hard shading, is shown in
Figure 3, were used in all simulations of the different shaded modules with an irradiation of 1000W/m2
resulting
in three peaks represented in the maximum power points Pm1, Pm2, Pm3 as indicated in the Table 2.
Table 1. PV module manufacturersuntech STP080
12/B6monocrystalline
Short-circuit current Isc 4.95V
Open circuit voltage Voc 21.9V
Maximum power current Im 4.57A
Maximumpower voltage Vm 17.5V
Maximum power Pm 80W
Short-circuit current Temperature
coefficient
KI 0.020
%/K
Open circuit voltage Temperature
coefficient
KV -0.34 %/K
Figure 2. PSC caused by the clouds on PV system
(a) (b) (c) (d)
Figure 3. Different configurations with, (a) C1 (uniform irradiation), (b) C2 (lightshading),
(c) C3 (medium shading), (d) C4 (hard shading)
In addition, the variation in the irradiations of the shaded modules changes the position of the global
MPP. But the latter remains at its maximum VAm, when G = 0.2 kW/m2
. Figure 4 show V-I, P-V curves of the
PV array for different shaded modules with irradiation 0.1 kW/m2
, the increase of power is increasing with
different irradiation of a partially shaded PV array is shown in Figure 5 with different shaded modules
irradiation level.
4. ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 12, No. 3, September 2021 : 1795 – 1803
1798
Table 2. Simulation results for the different power points with configurations C1, C2, C3
G W/m2
P1m(W) P2m(W) P3m(W) G W/m2
P1m(W) P2m(W) P3m(W)
Configuration C1 1000 ------ ------ 7998 Configuration C2 1000 ------ ------ 7998
900 ------ ------ 7572 900 ------ ------ 7325
800 1710 4725 7043 800 1629 2970 6569
700 1710 4530 6485 700 1596 2759 5768
600 1710 4307 5890 600 1560 2542 4951
500 1710 4086 5321 500 1531 2327 4110
400 1710 3865 4700 400 1490 2209 3263
300 1710 3645 4102 300 1450 1891 2388
200 1710 3426 3498 200 1423 1691 1530
100 1710 3208 2891 100 1375 1477 685
Configuration C3 1000 ------ ------ 7998 Configuration C4 1000 ------ ------ 7997
900 ------ ------ 7502 900 ------ ------ 7568
800 3427 4498 6734 800 ------ ------ 7042
700 3427 4231 5980 700 ------ ------ 4529
600 3427 3964 5155 600 ------ ------ 4307
500 3427 3699 4298 500 ------ ------ 4082
400 3427 3435 3429 400 ------ ------ 3865
300 3427 3171 2536 300 ------ ------ 3644
200 3427 2909 1640 200 ------ ------ 3424
100 3427 2649 730 100 ------ ------ 3197
I
P
V
(
A
)
VPV(Volt)
(a)
P
P
V
(W
att
)
VPV(Volt)
(b)
Figure 4. (V-I, V-P) characteristics of the PV system under PSC, (a) V-I; (b) V-P
P
PV
(Watt)
VPV(Volt)
Figure 5. P-V curves of the PV array for different shaded modules irradiation level
4. BASICS OF MODIFIED P&O, MODIFIED PSO
In this article we have compared the modified PSO method and the modified P&O method. The
performance of PSO modified is evaluated in comparison with P&O modified [15], [16]. Brief overviews of
these methods are presented in this paper to facilitate the following discussion.
4.1. Modified P&O
The solution that we proposeto overcome this problem is to scan by varyingthe value of the duty
cycle D while saving the maximum value of the passing power. This will detect the true MPP [17], [18]. The
modified P & O algorithm program considers the steps:
a. Use a logical variable shad which takes the value 1 in case of detection of shading (sudden decrease of the
power).
b. If there is no shading (shad = 0), the MPPT works with the classic P & O program.
5. Int J Pow Elec & Dri Syst ISSN: 2088-8694
A novel optimization of the particle swarm based maximum power point tracking for … (M. Atig)
1799
c. If there is shading (shad = 1): A cyclic report program close to the global MPP is started. It assigns to the
duty cycle D values ranging from 0 to 0.9 with a step of 0.1, then saves the value that gives the greatest
power in the variable D_PM. This therefore allows us to be injected to the operating point in the vicinity
of the overall MPP.
d. When D_PM is found the variable shad is reset to 0 and D_PM is assigned to D in order to restart the
conventional P & O algorithm with an initial operating point in the vicinity of the global MPP.
4.2. MPP detection using PSO
PSO was first introduced in [19], [20], which isan effective method for multimodal function global
optimization and swarm intelligence optimizationsearchguide produced by cooperation and competition
among particles in swarm. we firstly give the solution vector definition with NPparticle duty ratiois shown in
Figure 6. The position of the individual particleis calculated with [21], [22].
Figure 6. Movement of particles in PSO
𝑣𝑖
(𝑘+1)
= 𝑤. 𝑣𝑖
𝑘
+ 𝐶1
𝑘
. 𝑟1. (𝑝𝑏𝑖
𝑘
− 𝑠𝑖
𝑘
) + 𝐶2
𝑘
. 𝑟2. (𝑔𝑏
𝑘
−𝑠𝑖
𝑘
) (8)
𝑠(𝑘+1)
= 𝑠𝑖
𝑘
+ 𝑣𝑖
(𝑘+1)
(9)
Where; 𝑣𝑖
𝑘
: particle i velocity at iteration k,i: number of particle, 𝑤: weighting function, C1: cognitive
coefficient, C2: cognitive coefficient, r1, r2: random parameter,[0,1], 𝑠𝑖
𝑘
: current position vector, 𝑝𝑏𝑖: best position
found by particle I, 𝑔𝑏: global best positions by particle in the group
A linearly decreasing inertia weight from maximum value to minimum value, as reflected in (10), is
used to update the inertia weight as (10) wH, wL.
𝑤(𝑘) = 𝑤𝐻 −
𝑘
𝑘𝐻
(𝑤𝐻 − 𝑤𝐿) (10)
WherekH is the maximum number of iterations and k is the iteration number. The fitness function of PSO
algorithm for tracking GMPP can be expressed as (11):
fitness(𝑉𝑃, 𝐼𝑃) = 𝑉𝑃𝐼𝑠𝑐 − 𝑉𝑃𝐼𝑅 (𝑒
𝑞(𝑉𝑃+𝐼𝑃𝑅𝑠)
𝐴.𝐾.𝑇 − 1) (11)
To start the optimization process, a vector of duty cycles areinitialized and the algorithm transmits
the duty cycles to the power converter. These duty cycles (representedbySiin (11) serve as the initial particles
in the first iteration. All particles are heading towards their local bestposition𝑝𝑏𝑖[23]. Among these particles,
one of them is the global best 𝑝𝑏𝑖. It gives the best fitness value. Aftercalculating the velocity, which serves
as a perturbation to the voltage, a new position of the voltage is found. Through successive iteration all
particles move towards global best position. As the particles approach theMPP, they get closer to the
𝑔𝑏position. Correspondingly, the 𝑝𝑏𝑖factor and 𝑔𝑏factor in velocity termmoves towards zero. Eventually a
zero velocity is achieved and the voltage position remains almostunchanged. Under this condition, the PV
system reaches at MPP [24], [25].
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1800
5. RESULTS AND DISCUSSION
To compare the performance of conventional P&O and PSO during partial shading, we introduced
PV modules (A, B, C and D) in series. Consequently, there exists only one MPP at 8KW, as shown by Curve
1 of Figure 7. After a period of one second, the modules A, B, C and D are irradiated (partial shading) with
1000 W/m2, 800 W/m2
and 300W /m2
respectively, therefore, several 4.077KW peaks, 5.243KW and
1.744KW are generated which are shown by curve 2 in Figure 7.
Figure 8 shows that the P&O algorithm is quickly trapped by the 1.744KW peak which is indicated
by the arrows produced by moving the operating point from curve 1 to curve 2. Always in the PV system, the
offset between the global and local peak is 40 W, or about 14% of the peak power, as well a loss of power
considered to be very large are illustrated in Figure 8. In the Figures 9 (a)-(d), we notice that the PSO
algorithm under partial shading begins to detect the overall 4077KW point of MPP and the tracking, as
indicated by the movements of the particles (using the direction of the arrow) after several iterations. To
evaluate the proficiency and robustness of the suggested GMPP tracking method, MATLAB/Simulink is
hired. Modeling of solar Module, PSO algorithm and DC-DC boost converter is designed in MATLAB
environment. The code for dynamic PSO algorithm is developed in S-function builder. Figures10(a)-(d)
illustrates the output power curves of a PV system using the MPSO and MP&O methods at varying
radiations.
Figure 7. P–V curve for MPP tracking under partially
partially shaded with conventional PSO
Figure 8. P–V curve for MPP tracking undershaded
with conventional P&O
P
PV
(Watt)
Duty
cycle
Times(S)
(a)
Times(S)
(b)
V
PV
(Volt)
I
PV
(Ampere)
Times(S) Times(S)
(c) (d)
Figure 9. The PV module (a)the PV module output power (w), (b) the PV module duty cycle, (c) the
PVmodule voltage (v), (d) the PV module current (a), under partial shading by modified (P&O and PSO)
P
PV
(Watt)
P
PV
(Watt
)
VPV(Volt) VPV(Volt)
P
PV
(Watt)
P
PV
(Watt
)
VPV(Volt) VPV(Volt)
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A novel optimization of the particle swarm based maximum power point tracking for … (M. Atig)
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Zoom
P
PV
(Watt)
Zoom
P
PV
(Watt)
Times(S) Times(S)
(a) (b)
Figure 10. Zoom output power (W) under partial shading by modified, (a) P&O; (b) PSO
6. CONCLUSION
In this paper, a study of the partial shading effect on the modified particle swarm optimization
(PSO) MPPT controlled PV array solar system has been presented and the modified perturb and observe
(P&O). The power loss due to the inability of the PSO MPPT algorithm to track the maximum available
power has been calculated for a 100 module PV array using a moderate then a severe shading configuration.
The results obtained indicate, this PSO MPPT algorithm should be modified to take into account the partial
shading effect for a low insolation level. The proposed MPPT method tracks the global MPP for the two
shading configurations and under the four given shading levels. The principal objective of this paper is to
present the MPPT method based modified PSO algorithm for extraction of GMPP for PV system. The
suggestedmodified PSO technique could be performed appropriately during PSC, pointed the GMPP for
achieving a better compare with modified P&Omethod during PSC. The simulation results operation for PV
system. The suggested algorithm also made to depict that modified PSO is more effectual, has high
convergence rate and less ripple, tracking efficiency of modified PSO is remarkable as matched to
conventional modified P&O algorithm. So, modified PSO algorithm is matchless in its performance. In this
paper MPSO based MPPT and simulation results under normal and partially shaded conditions are presented.
The PV curves show multiple peaks under partially shaded conditions. Results show that MPSO algorithm
with high accuracy can track the real peak power point under different irradiation and temperature as well as
partially shaded conditions. In addition, MPSO has a better time response and also their convergence speed is
higher than other algorithms. It overcomes the weaknesses of conventional direct control method particularly
in partial shading conditions. results have shown that the proposed method outperforms the conventional
method in terms of tracking performance under ten different irradiance conditions, including various patterns
for partial shading.
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BIOGRAPHIES OF AUTHORS
Mebarka Atig was born in Algeria in 1974. Is PhD student in the Department of Electrical
Engineering at the University Dr Moulay Tahar of Saida, Algeria. She received Magister
degree in Industrial control of electrical drives and diagnosis from the University of Science
and Technology of Oran (USTO-MB), Algeria in 2011. His main research interests revolve
around renewable energy concerning photovoltaic.
9. Int J Pow Elec & Dri Syst ISSN: 2088-8694
A novel optimization of the particle swarm based maximum power point tracking for … (M. Atig)
1803
Yahia Miloud was born in June 1955. He received the B.Eng degree from Bradford
University,UK in 1980, the M.Sc degree from Aston University in Birmingham, UK in 1981
and the Ph.D degree from Electrical Machines Department of Electrical and Electronic
Engineering,University of Oran (U.S.T.0),Algeria in 2006. From 1982 to 1988 he was as
enior Engineer for Sonatrach LNG1 plant, Arzew Algria where he was in charge of the
method section of the maintenance department and responsible for the operation of all UPS
of the plant. In 1988 he joined the department of Electrotechnics at the university of Saïda,
Algeria where he is still working as a senior lecturer. His main area of research includes
power electronics, intelligent control of ac drives and PV systems.
Abdallah Miloudi was born on October 23, 1958 in Saida Algeria. He received his
Bachelor Engineering degree with honors and his Master of Science from the University of
Bradford England in 1981, and 1983 respectively. He received the PhD degree from the
University of Sciences and Technology of Oran in 2006. He is currently Professor of
Electrical Engineering at the University of Saida, Algeria. His research interests include:
Electrical machines Drives, intelligent Control and renewable energy.
Abdelkader Merah was born in Saida, Algeria in 1983. He obtained his Doctorate in
electrical engineering from the University of Saida (USMS), Algeria, in 2016, he is a Doctor
in electrical engineering at the University of Saida, Algeria. His fields of interest include:
multi-machines multi-converters systems, antilock brake system, traction control system and
anti-skid control for electric vehicle.