Maximum power point tracking (MPPT) is considered one of the important factors in minimizing the installation costs and improving the efficiency of any photovoltaic water pumping system. The MPPT controller is specifically used to extract the maximum available power from the photovoltaic (PV) array. The maximum power can be achieved by using a specific algorithm. This work aims to raise awareness among farmers about the energy benefits available in the region of Meknes in Morocco, the economic gain and the environmental impact applied to the solar pumping system so that it can be generalized. To obtain the maximum power at each moment, a direct current (DC) water pump (SQF 0-6-2) powered by the solar panels (REC_330NP) through a buck converter was adapted. In addition, this study illustrates the theory of operation of the perturb and observe (P&O) algorithm and simulates the evaluation of this algorithm under different operating conditions (temperature and solar irradiation), and showed the advantages of this system that can operate at the optimal power regardless of disturbances.
The Development of an Application Conceived for the Design, Feasibility Study...IJECEIAES
Because of the rise in diesel and butane prices widely used for pumping, added to their negative impact on both Morocco's environment and trade balance, the use of renewable energies should sound obvious, practical and cost effective. This study offers the transformation of a traditional butane pumping system (BPS) and diesel pumping system (DPS), located on a farm nearby the city of Agadir, into an optimized solar pumping system (SPS). The suggested method is based on a techno-economic study according to the “Business-As-usual” scenario. As a first step, we have dimensioned our pumping system and chosen the elements that constitute it. As a second step, we carried out an economic analysis, based on the calculation of all costs, which makes it possible to ensure the viability of the components of our SPS over its life cycle and brought it to a discounted value. The processing of the different data is made possible thanks to the computer application “PVDesign” which we have developed. This application has allowed us to carry out a comparative study of several techniques of pumping systems. The result of the study is that the SPS beats the other systems at various levels, namely economic, environmental and technical.
Peripheral interface controller-based maximum power point tracking algorithm ...TELKOMNIKA JOURNAL
A method of developing a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) utilizing a peripheral interface controller (PIC) is presented in this paper. The efficiency and adequacy of a PV depend on the temperature and the exposed position to the sun. Thus, there is an optimum point at which the operating power is at maximum. The goal is to operate the PV module at this point (MPP). It can be accomplished by using the MPPT algorithm designed with a DC-DC boost converter. The boost converter, MPPT circuit, PIC18F4550 microcontroller and PV panel are the main components used in this design. The current and voltage produced by the solar panel are observed continuously by a closed-loop control system. The microcontroller-based control system adjusts the duty cycle of the converter to extract the maximum power. With a DC input voltage of 15 V, the boost converter is capable of generating an output voltage of an approximately 60 Vdc at a maximum power of 213.42 W with minimum voltage ripple as compared to 84 W without the MPPT. It proved the effectiveness of the developed algorithm.
This document is a project report submitted by five students for their Bachelor of Technology degree in Electrical Engineering. It analyzes a solar photovoltaic system using buck and boost converters. The report includes an introduction that discusses renewable energy sources and trends. It also reviews literature on maximum power point tracking techniques. Components of standalone PV systems and modeling of PV cells are described. Finally, the operation and simulation of PV systems connected to buck and boost converters are explained.
Standalone photovoltaic array fed induction motor driven water pumping system IJECEIAES
Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB / Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.
Adaptive backstepping control of induction motor powered by photovoltaic gene...IJECEIAES
This paper is aimed at addressing the design of an effective adaptive nonlinear control of a photovoltaic (PV) water pumping system powering a submersible induction motor and a centrifugal water pump. Four objectives are achieved using an adaptive Backstepping controller. First, it is applied to ensure maximum power point tracking, and uses the latter as a reference in regulation of the rotor speed to convert the maximum electrical power into maximum mechanical power. Second, the adaptive controller is synthesized to control motor rotor flux and restrict the magnetic circuit to its linear interval. Third, it is used to online estimate the rotor time-constant and the load torque disturbance estimation. Finally, this controller is employed to limit the stator currents to protect induction motor windings. Mathematical modelling of the main elements of the system is presented. A sliding mode rotor flux estimator is employed in the output feedback control of the whole system. DC-AC converter is controlled by pulse width modulation. The feasibility, the robustness and the effectiveness of the proposed adaptive nonlinear controller are evaluated through simulations in MATLAB/Simulink environment.
IRJET- A Fuzzy Logic Control Method for MPPT to Improve Solar System EfficiencyIRJET Journal
This document presents a fuzzy logic control method for maximum power point tracking (MPPT) to improve the efficiency of solar photovoltaic systems. It proposes using a fuzzy logic controller connected to a boost converter to dynamically adjust the duty cycle based on voltage, current, and power levels from the solar panel. This allows the system to operate at the peak power point despite changing weather conditions. The fuzzy logic controller uses error and change in error as inputs and duty cycle as the output. Simulation results showed this MPPT method can track the maximum power point accurately and outperforms traditional perturbation and observation methods in terms of tracking efficiency and response time.
Modelling & Simulation of PV Module Connected with Three-Port DC ConverterDr. Amarjeet Singh
Of the world’s electricity is being generated through conventional sources of energy like coal and atomic energy. People have realized the dire effect of using these fuels, and the amount of CO2 being released into the environment. There has been a shift in emphasis towards cleaner ways of generating electricity in recent years. Solar energy is abundantly available and the cleanest renewable energy source available in the world and is ready to use for a variety of applications, such as the generation of electricity for residential, commercial, or industrial consumption and have become very competitive solutions. It can be seen that there is trend of solar photovoltaics (PV), which has seen rapid growth over the years. The increasing trend of adopting PV system allows consumers to be known as producers or “Prosumers”.
This report evaluates how solar PV can be used in combination with a battery bank along with three port converter to fulfill the requirement. Power production from PV cannot be consistent due to factors like the weather although The main benefits of solar power are that it can be easily installed cost of generation is low as there is no requirement for fuel and require very little maintenance Distributed maximum power point tracking (MPPT) and autonomous are achieved with the proposed configuration. The input-port of each TPC is connected to an independent PV energy source to achieve individual MPPT, and the output-ports of these TPCs are connected with load. Fully modular design is achieved by using Simulink/matlab.
The Development of an Application Conceived for the Design, Feasibility Study...IJECEIAES
Because of the rise in diesel and butane prices widely used for pumping, added to their negative impact on both Morocco's environment and trade balance, the use of renewable energies should sound obvious, practical and cost effective. This study offers the transformation of a traditional butane pumping system (BPS) and diesel pumping system (DPS), located on a farm nearby the city of Agadir, into an optimized solar pumping system (SPS). The suggested method is based on a techno-economic study according to the “Business-As-usual” scenario. As a first step, we have dimensioned our pumping system and chosen the elements that constitute it. As a second step, we carried out an economic analysis, based on the calculation of all costs, which makes it possible to ensure the viability of the components of our SPS over its life cycle and brought it to a discounted value. The processing of the different data is made possible thanks to the computer application “PVDesign” which we have developed. This application has allowed us to carry out a comparative study of several techniques of pumping systems. The result of the study is that the SPS beats the other systems at various levels, namely economic, environmental and technical.
Peripheral interface controller-based maximum power point tracking algorithm ...TELKOMNIKA JOURNAL
A method of developing a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) utilizing a peripheral interface controller (PIC) is presented in this paper. The efficiency and adequacy of a PV depend on the temperature and the exposed position to the sun. Thus, there is an optimum point at which the operating power is at maximum. The goal is to operate the PV module at this point (MPP). It can be accomplished by using the MPPT algorithm designed with a DC-DC boost converter. The boost converter, MPPT circuit, PIC18F4550 microcontroller and PV panel are the main components used in this design. The current and voltage produced by the solar panel are observed continuously by a closed-loop control system. The microcontroller-based control system adjusts the duty cycle of the converter to extract the maximum power. With a DC input voltage of 15 V, the boost converter is capable of generating an output voltage of an approximately 60 Vdc at a maximum power of 213.42 W with minimum voltage ripple as compared to 84 W without the MPPT. It proved the effectiveness of the developed algorithm.
This document is a project report submitted by five students for their Bachelor of Technology degree in Electrical Engineering. It analyzes a solar photovoltaic system using buck and boost converters. The report includes an introduction that discusses renewable energy sources and trends. It also reviews literature on maximum power point tracking techniques. Components of standalone PV systems and modeling of PV cells are described. Finally, the operation and simulation of PV systems connected to buck and boost converters are explained.
Standalone photovoltaic array fed induction motor driven water pumping system IJECEIAES
Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB / Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.
Adaptive backstepping control of induction motor powered by photovoltaic gene...IJECEIAES
This paper is aimed at addressing the design of an effective adaptive nonlinear control of a photovoltaic (PV) water pumping system powering a submersible induction motor and a centrifugal water pump. Four objectives are achieved using an adaptive Backstepping controller. First, it is applied to ensure maximum power point tracking, and uses the latter as a reference in regulation of the rotor speed to convert the maximum electrical power into maximum mechanical power. Second, the adaptive controller is synthesized to control motor rotor flux and restrict the magnetic circuit to its linear interval. Third, it is used to online estimate the rotor time-constant and the load torque disturbance estimation. Finally, this controller is employed to limit the stator currents to protect induction motor windings. Mathematical modelling of the main elements of the system is presented. A sliding mode rotor flux estimator is employed in the output feedback control of the whole system. DC-AC converter is controlled by pulse width modulation. The feasibility, the robustness and the effectiveness of the proposed adaptive nonlinear controller are evaluated through simulations in MATLAB/Simulink environment.
IRJET- A Fuzzy Logic Control Method for MPPT to Improve Solar System EfficiencyIRJET Journal
This document presents a fuzzy logic control method for maximum power point tracking (MPPT) to improve the efficiency of solar photovoltaic systems. It proposes using a fuzzy logic controller connected to a boost converter to dynamically adjust the duty cycle based on voltage, current, and power levels from the solar panel. This allows the system to operate at the peak power point despite changing weather conditions. The fuzzy logic controller uses error and change in error as inputs and duty cycle as the output. Simulation results showed this MPPT method can track the maximum power point accurately and outperforms traditional perturbation and observation methods in terms of tracking efficiency and response time.
Modelling & Simulation of PV Module Connected with Three-Port DC ConverterDr. Amarjeet Singh
Of the world’s electricity is being generated through conventional sources of energy like coal and atomic energy. People have realized the dire effect of using these fuels, and the amount of CO2 being released into the environment. There has been a shift in emphasis towards cleaner ways of generating electricity in recent years. Solar energy is abundantly available and the cleanest renewable energy source available in the world and is ready to use for a variety of applications, such as the generation of electricity for residential, commercial, or industrial consumption and have become very competitive solutions. It can be seen that there is trend of solar photovoltaics (PV), which has seen rapid growth over the years. The increasing trend of adopting PV system allows consumers to be known as producers or “Prosumers”.
This report evaluates how solar PV can be used in combination with a battery bank along with three port converter to fulfill the requirement. Power production from PV cannot be consistent due to factors like the weather although The main benefits of solar power are that it can be easily installed cost of generation is low as there is no requirement for fuel and require very little maintenance Distributed maximum power point tracking (MPPT) and autonomous are achieved with the proposed configuration. The input-port of each TPC is connected to an independent PV energy source to achieve individual MPPT, and the output-ports of these TPCs are connected with load. Fully modular design is achieved by using Simulink/matlab.
Analysis and Design of a Hybrid Renewable Energy System – Lebanon CaseIJERA Editor
The depletion of fossil fuels and their environmental consequences have prompted searching for other sources of energy aiming to global status amelioration. In the recent past, renewable energy sources have been considered as alternatives for the fossil fuel energy sources. The unexpected pattern of natural resources assesses integrated utilization of these sources to provide persistent and reliable power supply to the consumers. The technology’s advantages, requirements and related improvements are underlined and results are generalized. This paper covers the design of a solar and wind based hybrid renewable system presenting calculations and considerations in order to achieve an optimized design. Since hybrid systems performance relies mainly on geographical an d meteorological aspects, the study will consider the case of the Mediterranean area and in particular Lebanon.
Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and ...ijtsrd
Energy is the basic needs for human comforts and day to day activities. Energy is the key factor for social and economic developments in today scenario. Now a day’s global warming is the main problem of developing counties, due to the nonstop combustion of fossil fuels all over the world, creating environmental hazards and reducing conventional energy sources. This scenario is contributing to the need to search for an new renewable source of energy, which is clean and available in excess. Due to the huge impetus in the government policies on the development of solar energy, it is acting as a main alternative renewable energy source. The solar energy is popular due to easy maintenance, cleanliness, sustainability, and zero noise characteristics. Therefore, Photo Voltaic module supplying loads with and without Maximum Power Point Technique MPPT is applied in the current studies to find the best results. Since the Photovoltaic array output is known to be affected by radiation of sun and temperature, which makes is compulsory to find out an effective method to draw out maximum power from Photo Voltaic cell modules. In my work, Perturb and Observe PandO algorithm is selected because of its easy implementation Solar energy is the clean and eternal source of energy till the end of the world. In this paper main focus is how to improve the efficiency of solar based power generation .Solar energy is variable depends upon the time and the atmospheric condition and hence output of the solar cell is directly proportional to the insulation level and inversely proportional to cell temperature and also the cell never operates at maximum power. Bhoopendra Kumar Rajput | Ameen Uddin Ahmad "Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33406.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/33406/maximizing-output-power-of-a-solar-panel-via-combination-of-sun-tracking-and-maximum-power-point-tracking/bhoopendra-kumar-rajput
The seasonal climate changes have direct effects on determination of crop water requirement, irrigation scheduling and the potential of solar energy generation to operate the pumping system for watering crops. This research paper studied the technical evaluation of solar pumping and pressurized drip irrigation systems to investigate the recommended water required for suggested tomatoes crop in area of (one hectare) at AL-Salman district using measured climatic data from AL-Salman Agro-meteorological weather station for a period (2013-2017). The maximum average monthly of solar radiation was 7.6 kWh/m2 at June in all the years of recording data, while the minimum average monthly value was 3.37kWh/m2 at December where the sun at lowest point across the sky. The annual average hours of peak sun that corresponds to the operation time of the pumping system at maximum water consumption was calculated at eight months from March to October with a value of 7.2 hours/day, while it was 5.2 hours/day during the other four months (January, February, November and December). The Solar pumping sizing based on H-Q performance curve of a maximum flow rate of 64.45 m3/h and pump capacity of 16.79 kW with compounds motor pump efficiency of 61.2%. The total water production was 230000 m³/per year which indicates compatible overall system design and adequate to irrigate more planting land with same or other crop types.
Stochastic control for optimal power flow in islanded microgridIJECEIAES
The problem of optimal power flow (OPF) in an islanded mircrogrid (MG) for hybrid power system is described. Clearly, it deals with a formulation of an analytical control model for OPF. The MG consists of wind turbine generator, photovoltaic generator, and diesel engine generator (DEG), and is in stochastic environment such as load change, wind power fluctuation, and sun irradiation power disturbance. In fact, the DEG fails and is repaired at random times so that the MG can significantly influence the power flow, and the power flow control faces the main difficulty that how to maintain the balance of power flow? The solution is that a DEG needs to be scheduled. The objective of the control problem is to find the DEG output power by minimizing the total cost of energy. Adopting the Rishel’s famework and using the Bellman principle, the optimality conditions obtained satisfy the Hamilton-Jacobi-Bellman equation. Finally, numerical examples and sensitivity analyses are included to illustrate the importance and effectiveness of the proposed model.
Micropower system optimization for the telecommunication towers based on var...IJECEIAES
This study investigates the technical and cost-effective performance of options renewable energy sources to develop a green off-grid telecommunication tower to replace diesel generators in Malaysia. For this purpose, the solar, wind, pico-hydro energy, along with diesel generators, were examined to compare. In addition, the modeling of hybrid powering systems was conducted using hybrid optimization model for energy (HOMER) simulation based on techno-economic analysis to determine the optimal economically feasible system. The optimization findings showed that the hybrid high-efficiency fixed photovoltaic (PV) system with battery followed by 2 kW pico-hydropower and battery are the optimal configurations for powering off-grid telecommunication towers in Malaysia with the lowest net present cost (NPC) and cost of energy (COE). These costs of NPC and COE are more down than diesel generator costs with battery by 17.45%, 16.45%, 15.9%, and 15.5%, respectively. Furthermore, the economic evaluation of the high-efficiency solar fixed PV panels system annual cash flow compared to the diesel generator with the battery system indicated a ten-year payback period.
Sizing of Hybrid PV/Battery Power System in Sohag cityiosrjce
This paper gives the feasibility analysis of PV- Battery system for an off-grid power station in Sohag
city. Hybrid PV-battery system was used for supplying a combined pumping and residential load. A simple cost
effective method for sizing stand-alone PV hybrid systems was introduced. The aim of sizing hybrid system is to
determine the cost effective PV configuration and to meet the estimated load at minimum cost. This requires
assessing the climate conditions which determine the temporal variation of the insolation in Sohag city. Sizing
of the hybrid system components was investigated using RETscreen and HOMER programs. The sizing software
tools require a set of data on energy resource demand and system specifications. The energy cost values of the
hybrid system agrees reasonably with those published before.
The document discusses sizing a hybrid PV/battery power system in Sohag City, Egypt to meet the power demands of a combined pumping and residential load. It analyzes the feasibility of the system using the RETscreen and HOMER software programs, which require meteorological data and load profiles. The optimal system configured by HOMER consists of 25kW of PV panels, 40 batteries, and a 100kW power converter with a net present cost of $84,171 and cost of energy of $0.151/kWh.
Sustainability of the Installed Battery-less PV Panel Systems at Two Governme...IJAEMSJORNAL
This document summarizes a study that assessed the sustainability of battery-less photovoltaic (PV) panel systems installed at two government institutions in Pampanga, Philippines. The study found that the PV systems decreased the energy costs of both institutions compared to before installation. Specifically, Institution A saw an average 0.72% decrease in energy usage and 0.43% decrease in costs, while Institution B saw higher decreases of 12.88% and 13.59% respectively. The study also determined that the PV panels at Institution A had an efficiency of 27.98% while those at Institution B had 52.47% efficiency. A manual was created based on the study to provide guidance on operating and maintaining the PV systems.
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET Journal
The document presents a photovoltaic (PV) energy system with a fuel cell backup to ensure continuous operation of connected loads. The PV array normally powers the loads when solar irradiance is within its nominal range. When irradiance falls below a threshold, the fuel cell takes over to feed the loads. The proposed hybrid system is simulated in MATLAB/Simulink. Results show the system can efficiently address the intermittent nature of PV power by integrating a fuel cell backup.
This paper presents a detailed analysis of the pert urb and observe (P&O) maximum power point tracking algorithm (MPPT) in solar generation and wind power generator. This paper presents the optimum utilization of renewable energ y sources. In renewable energy sources wind mill and photovoltaic cell plays an important role. The available wind velocity and solar radiation and climate plays important role in India n power sector. Increasing demand of electricity it is very important to develop micro-g rids to diversify the generation. So to solve this problem and optimization of wind and solar pow er are necessary. To optimize power in wind mill we have to track the maximum wind velocit y to produce more power by extracting power from the wind and maximum power point trackin g (MPPT) technique is utilized to extract more power from PV cells.PID controller and dq axis theory is used in wind mill and MPPT technique is used to form DC Micro-grid and im plemented in MATLAB. Results show the better operating performance of micro-Grid in stability issue,increase in efficiency and optimum power extraction from the wind mill and solar cell.
Study of using solar energy system to supply a data centerIRJET Journal
This document studies using a solar energy system to supply the power needs of a data center. It summarizes the basic components of the system, which includes solar panels, batteries, a charge controller, inverters/converters, and the power grid. It then presents simulation results of the system modeling the solar irradiance in Tehran and the varying power demands of the data center. The results show the solar panels can generate up to 1.2 MW at midday, but most of the time cannot meet the full 2 MW load of the data center. The batteries charge and discharge to help meet demands, with one battery acting as primary and the other as backup. The power grid supplies any remaining load needs when the solar and batteries
Attempting to reduce the existing electricity consumption bill, as well as the stability and non-outage grid recharge with the lowest possible cost and suitable quality, is one of the most important goals for those interested in energy around the world. This paper study the circumstances surrounding the Egyptian society to find the best solutions to a achieved this goals, and it was found that solar energy is one of the best alternatives available for energy. Firstly will be study the electricity consumption bill, slice prices and a program was made to calculate the consumption invoice moreover another program for quick estimation to the proposed solar system.The proposed system provides a smart integration between the solar system and grid, where the supply sustainability and the optimal cost are considered. This configuration allows the two sources separately or simultaneously supply the loads depending on photovoltaic extracted energy. Operational analysis of the proposed system will discussed in this paper. The proposed system consists of solar cells, charge controller, batteries and inverter plugged to automatic transfer switches (ATS) using Programmable Logic Control (PLC). The system grantee a safe and reliable load feeding independently on the grid status. The system durability is the most depicted feature through the modelling and experimentally results. A typical case studies for about four years of non-outages photovoltaic-grid hybrid supply (the implemented system) will be presented and discussed.
This document analyzes the technical and economic feasibility of using off-grid solar photovoltaic technology to generate electricity in Peshawar, Pakistan. It finds that while solar PV electricity is currently more expensive than grid electricity, subsidies from the Khyber Pakhtunkhwa government could help promote solar adoption. The document estimates solar energy production potential in Peshawar and calculates the electricity costs and payback periods for a 10kW residential solar system under different capital cost scenarios. It also analyzes the system's net present value, internal rate of return, investment payback period, and energy payback time. The document concludes that while upfront costs are high, solar PV could ensure cleaner energy and reduce greenhouse
Reviewing the factors of the Renewable Energy systems for Improving the Energ...IJERA Editor
Electricity demand around the globe has increased alarmingly and is increasing at high rates. Therefore,
electricity supply by the conventional resources is not sufficient right now and the generation of electricity by
these resources is causing pollution worldwide. As the recent world is moving towards the alternative and
renewable resources of energy that include sun, wind, water, and air. This paper focuses on reviewing the
renewable energy sources used to improve the energy efficiency. This paper presents how the maximum power
generation capacity can be achieved using these sources. Main focus of this paper is on solar and wind power
that is freely available all around the globe. This paper concludes that there are certain factors that should be
considered while generating power from these sources. The factors include the calculation of radiation data,
storage size and capacity calculation, and geographic dispersion of the plants.
Droop control method for parallel dc converters used in standalone pv wind po...eSAT Journals
Abstract The rising rate of consumption and price of fossil fuel along with environmental pollution by conventional power generation draw global attention to renewable energy sources and technology. Paper gives analysis study on current sharing issues of parallel DC converters in standalone photovoltaic (PV) WIND system. Solar wind power generating system with maximum power point tracking (MPPT) technique – incremental conductance method is used for the simulation analysis. The main drawbacks of parallel converters used in system are poor power sharing and voltage drop. The paper describes about instantaneous droop calculation considering effect of cable resistance using droop index to improve the power sharing performance. The control technique is simulated using MATLAB/SIMULINK in PV- wind power generating system with MPPT and case study has been done on the control strategy and verifies the effectiveness of adaptive droop control on output converter voltage. Key Words: Microgrid; droop method; incremental conductance (Incond); maximum power point tracking (MPPT).
a project report on MPPT algorithm for PV panelgauravchitransh
The document discusses renewable energy sources such as solar power. It notes that solar power has the potential to supplement power in cities and rural areas by harnessing the sun's energy through solar collectors. The document then discusses different renewable energy sources in detail, including wind power, hydropower, biomass, geothermal, and solar power. It also reviews literature on increasing the efficiency of solar panels through maximum power point tracking algorithms and circuit modeling of photovoltaic modules.
Fuzzy logic control of hybrid systems including renewable energy in microgrids IJECEIAES
With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an effective, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is micro grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a fuzzy logic control of isolated hybrid systems (HRES) including renewable energy in micro-grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.
IRJET - Review on Ideal Microgrid for Indian FarmersIRJET Journal
This document reviews an ideal solar microgrid system for Indian farmers. It proposes a system consisting of PV panels, maximum power point tracking (MPPT), a three-phase inverter, and battery storage. It analyzes different techniques for MPPT, inverter control schemes, and battery energy storage. Perturb and observe and incremental conductance are discussed as MPPT algorithms, and single-stage, dual-stage, and microinverters are reviewed as inverter topologies. The system aims to provide farmers with electricity for their needs while allowing excess to be sold back to the grid as a new source of income.
A Wind driven PV- FC Hybrid System and its Power Management Strategies in a GridIJERA Editor
This paper shows the work done on the method to operate a Wind driven grid connected hybrid system which is composed of a Photovoltaic (PV) array and a Proton exchange membrane fuel cell . A wind system provides with an opportunity to harness the abundantly available renewable resource. With the proton exchange membrane the hybrid system output power becomes controllable. Here the system uses two operation modes, the unit-power control (UPC) mode and the feeder-flow control (FFC) mode. This papers discusses the coordination of two control modes, the coordination of the PV array and the proton exchange membrane fuel cell in hybrid system and the way in which the reference parameters are determined.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
The document presents the optimal sizing of a hybrid photovoltaic-wind power system for rural electrification in India. It involves modeling the system components, including photovoltaic modules, wind turbines and batteries. The optimization aims to minimize the levelized cost of energy while meeting the desired reliability, represented by the loss of power supply probability. The modeling is implemented using MATLAB software. Simulation results for a sample location in Andhra Pradesh, India show that a hybrid solar-wind system can generate sufficient power for a rural village by optimizing the component sizes.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Analysis and Design of a Hybrid Renewable Energy System – Lebanon CaseIJERA Editor
The depletion of fossil fuels and their environmental consequences have prompted searching for other sources of energy aiming to global status amelioration. In the recent past, renewable energy sources have been considered as alternatives for the fossil fuel energy sources. The unexpected pattern of natural resources assesses integrated utilization of these sources to provide persistent and reliable power supply to the consumers. The technology’s advantages, requirements and related improvements are underlined and results are generalized. This paper covers the design of a solar and wind based hybrid renewable system presenting calculations and considerations in order to achieve an optimized design. Since hybrid systems performance relies mainly on geographical an d meteorological aspects, the study will consider the case of the Mediterranean area and in particular Lebanon.
Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and ...ijtsrd
Energy is the basic needs for human comforts and day to day activities. Energy is the key factor for social and economic developments in today scenario. Now a day’s global warming is the main problem of developing counties, due to the nonstop combustion of fossil fuels all over the world, creating environmental hazards and reducing conventional energy sources. This scenario is contributing to the need to search for an new renewable source of energy, which is clean and available in excess. Due to the huge impetus in the government policies on the development of solar energy, it is acting as a main alternative renewable energy source. The solar energy is popular due to easy maintenance, cleanliness, sustainability, and zero noise characteristics. Therefore, Photo Voltaic module supplying loads with and without Maximum Power Point Technique MPPT is applied in the current studies to find the best results. Since the Photovoltaic array output is known to be affected by radiation of sun and temperature, which makes is compulsory to find out an effective method to draw out maximum power from Photo Voltaic cell modules. In my work, Perturb and Observe PandO algorithm is selected because of its easy implementation Solar energy is the clean and eternal source of energy till the end of the world. In this paper main focus is how to improve the efficiency of solar based power generation .Solar energy is variable depends upon the time and the atmospheric condition and hence output of the solar cell is directly proportional to the insulation level and inversely proportional to cell temperature and also the cell never operates at maximum power. Bhoopendra Kumar Rajput | Ameen Uddin Ahmad "Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33406.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/33406/maximizing-output-power-of-a-solar-panel-via-combination-of-sun-tracking-and-maximum-power-point-tracking/bhoopendra-kumar-rajput
The seasonal climate changes have direct effects on determination of crop water requirement, irrigation scheduling and the potential of solar energy generation to operate the pumping system for watering crops. This research paper studied the technical evaluation of solar pumping and pressurized drip irrigation systems to investigate the recommended water required for suggested tomatoes crop in area of (one hectare) at AL-Salman district using measured climatic data from AL-Salman Agro-meteorological weather station for a period (2013-2017). The maximum average monthly of solar radiation was 7.6 kWh/m2 at June in all the years of recording data, while the minimum average monthly value was 3.37kWh/m2 at December where the sun at lowest point across the sky. The annual average hours of peak sun that corresponds to the operation time of the pumping system at maximum water consumption was calculated at eight months from March to October with a value of 7.2 hours/day, while it was 5.2 hours/day during the other four months (January, February, November and December). The Solar pumping sizing based on H-Q performance curve of a maximum flow rate of 64.45 m3/h and pump capacity of 16.79 kW with compounds motor pump efficiency of 61.2%. The total water production was 230000 m³/per year which indicates compatible overall system design and adequate to irrigate more planting land with same or other crop types.
Stochastic control for optimal power flow in islanded microgridIJECEIAES
The problem of optimal power flow (OPF) in an islanded mircrogrid (MG) for hybrid power system is described. Clearly, it deals with a formulation of an analytical control model for OPF. The MG consists of wind turbine generator, photovoltaic generator, and diesel engine generator (DEG), and is in stochastic environment such as load change, wind power fluctuation, and sun irradiation power disturbance. In fact, the DEG fails and is repaired at random times so that the MG can significantly influence the power flow, and the power flow control faces the main difficulty that how to maintain the balance of power flow? The solution is that a DEG needs to be scheduled. The objective of the control problem is to find the DEG output power by minimizing the total cost of energy. Adopting the Rishel’s famework and using the Bellman principle, the optimality conditions obtained satisfy the Hamilton-Jacobi-Bellman equation. Finally, numerical examples and sensitivity analyses are included to illustrate the importance and effectiveness of the proposed model.
Micropower system optimization for the telecommunication towers based on var...IJECEIAES
This study investigates the technical and cost-effective performance of options renewable energy sources to develop a green off-grid telecommunication tower to replace diesel generators in Malaysia. For this purpose, the solar, wind, pico-hydro energy, along with diesel generators, were examined to compare. In addition, the modeling of hybrid powering systems was conducted using hybrid optimization model for energy (HOMER) simulation based on techno-economic analysis to determine the optimal economically feasible system. The optimization findings showed that the hybrid high-efficiency fixed photovoltaic (PV) system with battery followed by 2 kW pico-hydropower and battery are the optimal configurations for powering off-grid telecommunication towers in Malaysia with the lowest net present cost (NPC) and cost of energy (COE). These costs of NPC and COE are more down than diesel generator costs with battery by 17.45%, 16.45%, 15.9%, and 15.5%, respectively. Furthermore, the economic evaluation of the high-efficiency solar fixed PV panels system annual cash flow compared to the diesel generator with the battery system indicated a ten-year payback period.
Sizing of Hybrid PV/Battery Power System in Sohag cityiosrjce
This paper gives the feasibility analysis of PV- Battery system for an off-grid power station in Sohag
city. Hybrid PV-battery system was used for supplying a combined pumping and residential load. A simple cost
effective method for sizing stand-alone PV hybrid systems was introduced. The aim of sizing hybrid system is to
determine the cost effective PV configuration and to meet the estimated load at minimum cost. This requires
assessing the climate conditions which determine the temporal variation of the insolation in Sohag city. Sizing
of the hybrid system components was investigated using RETscreen and HOMER programs. The sizing software
tools require a set of data on energy resource demand and system specifications. The energy cost values of the
hybrid system agrees reasonably with those published before.
The document discusses sizing a hybrid PV/battery power system in Sohag City, Egypt to meet the power demands of a combined pumping and residential load. It analyzes the feasibility of the system using the RETscreen and HOMER software programs, which require meteorological data and load profiles. The optimal system configured by HOMER consists of 25kW of PV panels, 40 batteries, and a 100kW power converter with a net present cost of $84,171 and cost of energy of $0.151/kWh.
Sustainability of the Installed Battery-less PV Panel Systems at Two Governme...IJAEMSJORNAL
This document summarizes a study that assessed the sustainability of battery-less photovoltaic (PV) panel systems installed at two government institutions in Pampanga, Philippines. The study found that the PV systems decreased the energy costs of both institutions compared to before installation. Specifically, Institution A saw an average 0.72% decrease in energy usage and 0.43% decrease in costs, while Institution B saw higher decreases of 12.88% and 13.59% respectively. The study also determined that the PV panels at Institution A had an efficiency of 27.98% while those at Institution B had 52.47% efficiency. A manual was created based on the study to provide guidance on operating and maintaining the PV systems.
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET Journal
The document presents a photovoltaic (PV) energy system with a fuel cell backup to ensure continuous operation of connected loads. The PV array normally powers the loads when solar irradiance is within its nominal range. When irradiance falls below a threshold, the fuel cell takes over to feed the loads. The proposed hybrid system is simulated in MATLAB/Simulink. Results show the system can efficiently address the intermittent nature of PV power by integrating a fuel cell backup.
This paper presents a detailed analysis of the pert urb and observe (P&O) maximum power point tracking algorithm (MPPT) in solar generation and wind power generator. This paper presents the optimum utilization of renewable energ y sources. In renewable energy sources wind mill and photovoltaic cell plays an important role. The available wind velocity and solar radiation and climate plays important role in India n power sector. Increasing demand of electricity it is very important to develop micro-g rids to diversify the generation. So to solve this problem and optimization of wind and solar pow er are necessary. To optimize power in wind mill we have to track the maximum wind velocit y to produce more power by extracting power from the wind and maximum power point trackin g (MPPT) technique is utilized to extract more power from PV cells.PID controller and dq axis theory is used in wind mill and MPPT technique is used to form DC Micro-grid and im plemented in MATLAB. Results show the better operating performance of micro-Grid in stability issue,increase in efficiency and optimum power extraction from the wind mill and solar cell.
Study of using solar energy system to supply a data centerIRJET Journal
This document studies using a solar energy system to supply the power needs of a data center. It summarizes the basic components of the system, which includes solar panels, batteries, a charge controller, inverters/converters, and the power grid. It then presents simulation results of the system modeling the solar irradiance in Tehran and the varying power demands of the data center. The results show the solar panels can generate up to 1.2 MW at midday, but most of the time cannot meet the full 2 MW load of the data center. The batteries charge and discharge to help meet demands, with one battery acting as primary and the other as backup. The power grid supplies any remaining load needs when the solar and batteries
Attempting to reduce the existing electricity consumption bill, as well as the stability and non-outage grid recharge with the lowest possible cost and suitable quality, is one of the most important goals for those interested in energy around the world. This paper study the circumstances surrounding the Egyptian society to find the best solutions to a achieved this goals, and it was found that solar energy is one of the best alternatives available for energy. Firstly will be study the electricity consumption bill, slice prices and a program was made to calculate the consumption invoice moreover another program for quick estimation to the proposed solar system.The proposed system provides a smart integration between the solar system and grid, where the supply sustainability and the optimal cost are considered. This configuration allows the two sources separately or simultaneously supply the loads depending on photovoltaic extracted energy. Operational analysis of the proposed system will discussed in this paper. The proposed system consists of solar cells, charge controller, batteries and inverter plugged to automatic transfer switches (ATS) using Programmable Logic Control (PLC). The system grantee a safe and reliable load feeding independently on the grid status. The system durability is the most depicted feature through the modelling and experimentally results. A typical case studies for about four years of non-outages photovoltaic-grid hybrid supply (the implemented system) will be presented and discussed.
This document analyzes the technical and economic feasibility of using off-grid solar photovoltaic technology to generate electricity in Peshawar, Pakistan. It finds that while solar PV electricity is currently more expensive than grid electricity, subsidies from the Khyber Pakhtunkhwa government could help promote solar adoption. The document estimates solar energy production potential in Peshawar and calculates the electricity costs and payback periods for a 10kW residential solar system under different capital cost scenarios. It also analyzes the system's net present value, internal rate of return, investment payback period, and energy payback time. The document concludes that while upfront costs are high, solar PV could ensure cleaner energy and reduce greenhouse
Reviewing the factors of the Renewable Energy systems for Improving the Energ...IJERA Editor
Electricity demand around the globe has increased alarmingly and is increasing at high rates. Therefore,
electricity supply by the conventional resources is not sufficient right now and the generation of electricity by
these resources is causing pollution worldwide. As the recent world is moving towards the alternative and
renewable resources of energy that include sun, wind, water, and air. This paper focuses on reviewing the
renewable energy sources used to improve the energy efficiency. This paper presents how the maximum power
generation capacity can be achieved using these sources. Main focus of this paper is on solar and wind power
that is freely available all around the globe. This paper concludes that there are certain factors that should be
considered while generating power from these sources. The factors include the calculation of radiation data,
storage size and capacity calculation, and geographic dispersion of the plants.
Droop control method for parallel dc converters used in standalone pv wind po...eSAT Journals
Abstract The rising rate of consumption and price of fossil fuel along with environmental pollution by conventional power generation draw global attention to renewable energy sources and technology. Paper gives analysis study on current sharing issues of parallel DC converters in standalone photovoltaic (PV) WIND system. Solar wind power generating system with maximum power point tracking (MPPT) technique – incremental conductance method is used for the simulation analysis. The main drawbacks of parallel converters used in system are poor power sharing and voltage drop. The paper describes about instantaneous droop calculation considering effect of cable resistance using droop index to improve the power sharing performance. The control technique is simulated using MATLAB/SIMULINK in PV- wind power generating system with MPPT and case study has been done on the control strategy and verifies the effectiveness of adaptive droop control on output converter voltage. Key Words: Microgrid; droop method; incremental conductance (Incond); maximum power point tracking (MPPT).
a project report on MPPT algorithm for PV panelgauravchitransh
The document discusses renewable energy sources such as solar power. It notes that solar power has the potential to supplement power in cities and rural areas by harnessing the sun's energy through solar collectors. The document then discusses different renewable energy sources in detail, including wind power, hydropower, biomass, geothermal, and solar power. It also reviews literature on increasing the efficiency of solar panels through maximum power point tracking algorithms and circuit modeling of photovoltaic modules.
Fuzzy logic control of hybrid systems including renewable energy in microgrids IJECEIAES
With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an effective, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is micro grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a fuzzy logic control of isolated hybrid systems (HRES) including renewable energy in micro-grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.
IRJET - Review on Ideal Microgrid for Indian FarmersIRJET Journal
This document reviews an ideal solar microgrid system for Indian farmers. It proposes a system consisting of PV panels, maximum power point tracking (MPPT), a three-phase inverter, and battery storage. It analyzes different techniques for MPPT, inverter control schemes, and battery energy storage. Perturb and observe and incremental conductance are discussed as MPPT algorithms, and single-stage, dual-stage, and microinverters are reviewed as inverter topologies. The system aims to provide farmers with electricity for their needs while allowing excess to be sold back to the grid as a new source of income.
A Wind driven PV- FC Hybrid System and its Power Management Strategies in a GridIJERA Editor
This paper shows the work done on the method to operate a Wind driven grid connected hybrid system which is composed of a Photovoltaic (PV) array and a Proton exchange membrane fuel cell . A wind system provides with an opportunity to harness the abundantly available renewable resource. With the proton exchange membrane the hybrid system output power becomes controllable. Here the system uses two operation modes, the unit-power control (UPC) mode and the feeder-flow control (FFC) mode. This papers discusses the coordination of two control modes, the coordination of the PV array and the proton exchange membrane fuel cell in hybrid system and the way in which the reference parameters are determined.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
The document presents the optimal sizing of a hybrid photovoltaic-wind power system for rural electrification in India. It involves modeling the system components, including photovoltaic modules, wind turbines and batteries. The optimization aims to minimize the levelized cost of energy while meeting the desired reliability, represented by the loss of power supply probability. The modeling is implemented using MATLAB software. Simulation results for a sample location in Andhra Pradesh, India show that a hybrid solar-wind system can generate sufficient power for a rural village by optimizing the component sizes.
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
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- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
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Design, modeling and simulation of perturb and observe maximum power point tracking for a photovoltaic water pumping system
1. International Journal of Electrical and Computer Engineering (IJECE)
Vol. 12, No. 4, August 2022, pp. 3430~3439
ISSN: 2088-8708, DOI: 10.11591/ijece.v12i4.pp3430-3439 3430
Journal homepage: http://ijece.iaescore.com
Design, modeling and simulation of perturb and observe
maximum power point tracking for a photovoltaic water
pumping system
Abdelilah Hilali, Yahya Mardoude, Youssef Ben Akka, Hassan El Alami, Abderrafii Rahali
Electronics, Communication Systems and Energy Optimization Team, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
Article Info ABSTRACT
Article history:
Received Jul 27, 2021
Revised Jan 14, 2022
Accepted Feb 9, 2022
Maximum power point tracking (MPPT) is considered one of the important
factors in minimizing the installation costs and improving the efficiency of
any photovoltaic water pumping system. The MPPT controller is specifically
used to extract the maximum available power from the photovoltaic (PV)
array. The maximum power can be achieved by using a specific algorithm.
This work aims to raise awareness among farmers about the energy benefits
available in the region of Meknes in Morocco, the economic gain and the
environmental impact applied to the solar pumping system so that it can be
generalized. To obtain the maximum power at each moment, a direct current
(DC) water pump (SQF 0-6-2) powered by the solar panels (REC_330NP)
through a buck converter was adapted. In addition, this study illustrates the
theory of operation of the perturb and observe (P&O) algorithm and
simulates the evaluation of this algorithm under different operating
conditions (temperature and solar irradiation), and showed the advantages of
this system that can operate at the optimal power regardless of disturbances.
Keywords:
Buck converter
DC motor
Maximum power point tracking
Photovoltaic model
Water pump
This is an open access article under the CC BY-SA license.
Corresponding Author:
Abdelilah Hilali
Department of Physics, Moulay Ismail University
BP 11201, Avenue Zitoune, Meknes, Morocco
Email: ab.hilali@edu.umi.ac.ma
1. INTRODUCTION
Energy has become the great central debate of our modern civilizations [1]. About 90% of this
energy is fossil, and poses a potential danger to this universe through global warming [2]. The use of
renewable energies considerably reduces the undesirable emissions of these gases [2].
The price of fossil energy is constantly increasing [3], [4]. The fight against greenhouse gas
emissions makes urgent control of energy consumption, and the diversification of energy resources and its
development [5], [6]. The agricultural sector in Morocco consumes about 13% of energy, mainly
concentrated in irrigation equipment. Therefore; solar pumping will allow the farmer to have access to free
energy [7], [8]. It is a clean and renewable energy, which is carried out without noise or carbon dioxide
polluting the climate, and which fits perfectly with the current ecological policy of the government (Green
Morocco Plan) [9].
Morocco's strategic geographical location offers favorable conditions for investment and use of
renewable energies, especially solar energy. The introduction of these energies could easily be considered on
many applications such as: photovoltaic water pumping system, off-grid rural electrification or direct
injection of the produced energy into the electrical grid. The solar water pumping system is a promising
solution of photovoltaic systems that can be used to provide water to rural and remote areas. The advances in
2. Int J Elec & Comp Eng ISSN: 2088-8708
Design, modeling and simulation of perturb and observe maximum power point … (Abdelilah Hilali)
3431
photovoltaic panel technology have reduced the cost of solar panels and increased the feasibility of solar
water pumping systems [10].
In addition, agriculture is expected to play a role as a locomotive for the economic growth of
countries in the future. In this way, the Green Morocco Plan has aimed to create a framework conducive to
the development of the sector through: strengthening the capacities of the various actors involved; focusing
on raising awareness among farmers on the economic and environmental interest of solar pumping in order to
make it more widespread; the establishing financing mechanisms facilitating the acquisition of
photovoltaic (PV) water pumping systems; standardizing solar installations for irrigation; and establishing a
framework for monitoring the impacts of the project in terms of mitigation of greenhouse gas emissions.
In the case of a direct connection between a photovoltaic generator and an electrical water pump, the
point of operation of this installation depends on the impedance of the latter. This choice is mainly related to
simplicity, reliability and low cost of the installation. However, this configuration does not offer any type of
limitation or adjustment of the pump voltage. Indeed, the power extracted from the photovoltaic generator is
often very far from the maximum power that this solar power can deliver [11]. So to address this issue, we
need an adaptation stage with an algorithm. This algorithm constantly seeks the maximum power available
on the photovoltaic generator to ensure that the energy transfer can be carried out under optimal operating
conditions. Nowadays, there are different types of algorithms performing the search for maximum power
point (MPP): hill climbing [12], perturb and observe (P&O) [13], Inc Cond [14], fuzzy control [15] and
proportional-integral-derivative (PID) [16]. Despite the advantages of solar water pumping systems, the use
of photovoltaic generator in pumping systems is not well known in Morocco. The problem is directly related
to the operators who are not aware of the advantages of these systems and their contributions from an
economic, ecological as well as other benefits.
In the present work, certain measurements were taken on the efficiency of using solar water
pumping systems in agriculture. Indeed, the country has enough solar energy resources to reduce water
pumping using butane and diesel. Indeed, photovoltaic converters are characterized by a very low conversion
efficiency [17]. Thus, another efficiency drop is mainly related to the intersection of the two curves:
photovoltaic generator and load characteristics. To solve this problem, a buck converter must be inserted
before the pump. This buck converter is equipped with one of the above mentioned algorithms. Due to the
evolution of the metrological parameters of the region that will be shown later, P&O algorithm studies show
the ease by which this can be implemented and the need for a simple calculator. In addition, this algorithm
allows to decrease the cost to improve the profitability of agricultural facilities.
2. RESEARCH METHOD
2.1. Principle of solar water pumping systems
The system is designed around a direct current (DC) water pump connected to PV generator by an
maximum power point tracking (MPPT) controller as shown in Figure 1. The latter is used for two purposes
in the solar pumping system: The first is to regulate the required voltage of the pump and to operate it by the
maximum power produced. The second objective is to protect the pump from low voltages when the system
is turned off if the voltage is too low or too high compared to the nominal voltage [18]. This aims at
increasing the life of the pump and thus reduces the need for maintenance.
Figure 1. Concept of PV water pumping system
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2.2. The advantages of P&O MPPT technique on a PV water pumping system
The principle of P&O MPPT controller [19] is to disturb the voltage of photovoltaic generator Vpv of
a small amplitude around its initial value, and to analyze the behavior of the resulting power PPV variation. If
a positive VPV voltage increment results in an increase in PPV power, this means that the operating point is to
the left of the MPP. If, on the contrary, the power decreases, this implies that the system has exceeded the
MPP. A similar reasoning can be made when the voltage decreases as shown in the Figure 2. It is then easy to
locate the operating point in relation to the MPP and to make the power generated is maximum (PPM)
converge towards the maximum power through an appropriate command order.
Figure 2. P&O MPPT Search and recovery of the maximum power point
2.3. Meteorological conditions in the region
The average amount of sunshine is more than 8 hours per day. Moroccan regions present all the
favorable conditions for solar water pumping system. Winter insolation for these regions varies between 934
and 1,520 hours. Based on digital data captured by CR1000 Meteorological Station at the Meknes Faculty of
Science in Figure 3, where Figure 3(a) represents the variation of irradiance and Figure 3(b) represents the
variation of temperature of the city of Meknes since the year 2014. The interval of these digital data can be
simulated to estimate the quantity of energy in the region as elaborated in the next section.
It can be seen from Figure 3 that the temperature varies from 0-45 °C, but the average temperature is
still around 20 °C. The maximum solar irradiance varies from 600 W/m2
to almost 1,500 W/m2
. But the
average value is still around 900 W/m2
. To be more practical, it is preferable to make the simulation related
to the real parameters of the region in order to estimate the real performance of such a solar pumping system
in the region.
Figure 3. Digital data captured by CR1000 Meteorological Station at the Meknes Faculty of Science in,
where (a) the variation of irradiance and (b) temperature of the city of Meknes since the year 2014
Irradiance
Temperature
Time Time
The system moving
away of the MPP
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3433
Figure 4 shows the evolution of irradiance over the course of a day on randomly selected days. It
can be seen that the evolution of irradiance over time does not change brutally during the day. Furthermore,
most PV-based applications (such as solar water pumping) do not run all the time, so a very simple controller
with P&O algorithms is sufficient.
Figure 4. The variation of irradiance on random days
2.4. Modeling of the PV power station
The equivalent diagram of a real solar cell is represented in Figure 5, by a current generator (Iph), a
diode and two types of parasites resistance (Rs) and (Rsh). Where the current generator (Iph) delivers a current
Iph corresponding to the photogenic current, it is a perfect source; the diode (D) models the P-N junction
materializing the fact that the current only flows in one direction; the series resistance, Rs modeling the
resistive losses within the solar cell, it is a resistance that the electric current encounters on its course
(intrinsic resistance of the layers and resistance of the contacts); the shunt resistance Rsh corresponds to a
leakage resistance between the two zones N and P of the junction. It takes into account the inevitable leaks of
the current which occur between the opposite positive and negative terminals of a photocell (micro short
circuit in silicon in particular).
Figure 5. Electrical model of a cell PV [20]
It follows that part of the current Iph will be derived from Rsh and cannot be delivered to the load;
thus, to increase the PV efficiency, Rsh must be as high as possible in the cell. The load will be connected at
the terminals of PV cells. The impedance of this load will impose the operating point on the photocell as a
function of its current-voltage characteristic (I, V) that depends on the considered irradiance and other
parameters. The output current of the PV module can be written as shown in the relation (1) [21].
𝐼 = 𝐼𝑝ℎ − 𝐼𝑠 [𝑒𝑥𝑝
𝑉+𝐼.𝑅𝑠
𝑛𝑉𝑡ℎ − 1] −
𝑉+𝐼.𝑅𝑠
𝑅𝑠ℎ
(1)
where:
Is (A) = corresponding to the saturation current;
Vth (V) = the thermodynamic potential;
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K (J.K-1
) = the Boltzmann constant;
T (K) = the effective temperature of the cell;
e (C) = the charge of the electron;
n = a factor of non-ideality of the junction;
I (A) = the current supplied by the cell;
V (V) = the voltage across the cell, Iph (A), the short-circuit current of the cell, depending on the sun
irradiance and the temperature.
In a PV generator, there are usually several photovoltaic cells put together with different modes
(series/parallel) to build a power supply [22], [23]. This combination depends on the voltage and the currents
required to meet certain load specification requirements. The resulting characteristic (I, V) or (P, V) of a
series grouping obtained for n identical cells by summing the elementary characteristics of constant current is
as follows: Vn = n.V1, and for a grouping of p parallel cells is In = p.I1 [24].
3. RESULTS AND DISCUSSION
3.1. Simulation results of PV under different atmospheric conditions
PV generator is composed of a mono-crystalline solar panel, model REC_330NP. The electrical
characteristics of this module are presented in the Table 1. According to the manufacturer tests under
standard conditions (E=1000 W/m², AM=1.5, Tc=25 °C) indicate we find:
Table 1. The REC_330NP characteristics
Rsh Rs Vmpp Impp Pmpp Isc Voc
1 kΩ 73mΩ 34.6 V 9.55 A 330 W 10.33A 41 V
To study this PV generator, we need its electrical model of (1), which takes into account the
relationship between the different variables that influence photovoltaic generator production. We can also use
simulation software. Figure 6 shows the electrical behavior of the REC_330NP module by simulation, where
Figure 6(a) shows the power-voltage characteristic and Figure 6(b) shows the current-voltage characteristic.
(a) (b)
Figure 6. Characteristics of the REC_330NP module (a) the power-voltage characteristic and (b) the current-
voltage characteristic
From the results of simulations, we notice that the maximum current (Isc=10.33 A) occurs when the
module terminals are short-circuited. It is called short-circuit current, the Isc strongly depends on the level of
illumination; no-load voltage (Voc=41 V) for zero current. This voltage is also called open-circuit voltage.
The maximum power point MPP (Vmpp=34.6 V, Impp=9.55 A, the maximum electrical power delivered
(Pc=330 Watt peak). From the current-voltage characteristic, we can deduce the characteristic of the electrical
power generated by the cell as a function of the voltage across its terminals. There is a photo current value
corresponding to a voltage across the cell for which this generated electrical power is optimum [25], [26].
6. Int J Elec & Comp Eng ISSN: 2088-8708
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This value varies depending on several meteorological parameters such as temperature, irradiance, and
position of the panel relative to the sun.
3.1.1. Irradiance influences
The network of characteristics (I, V) according to a variable irradiance (for a junction temperature of
25 °C) is shown in the following Figure 7 where Figure 7(a) represents the power-voltage characteristic and
Figure 7(b) the current-voltage characteristic. Under higher solar irradiance, the current Icc directly increased
along with (the relationship is proportional) the voltage remaining relatively constant. It is clear that when the
irradiance increased from 400 W.m-2
to 1,200 W.m-2
; the power increased from 140 Wp to 380 Wp.
(a) (b)
Figure 7. The REC_330NP characteristics under several radiation modes (a) the power-voltage characteristic
and (b) the current-voltage characteristic
3.1.2. Temperature influence
Figure 8 displays the characteristics of a PV panel under constant lighting and variable temperature,
where Figure 8(a) represents the power-voltage characteristics and Figure 8(b) represents the current-voltage
characteristics. The temperature also has a significant influence on the characteristics of this panel. When the
temperature increases, the voltage decreases and therefore the power too. The curves in the previous figure
show this drift in the characteristics of this crystalline silicon panel as a function of temperature. We note that
we moved from an optimal power of 305 Wp at 45 °C to a power of 360 Wp for a temperature of 0 °C. Thus,
we will have to take into account the temperature of use of the solar cell in order to apply for a reduction
coefficient of the optimal power at 25 °C.
3.2. Simulation results of a PV water pumping system
The following section presents the result of the simulation of the photovoltaic water pumping
system, which is composed of a DC electric pump SQF 0-6-2, its technical characteristics are: nominal
current in = 8.4 A, average voltage 30 to 300 VDC. This is connected to a photovoltaic generator through a
step-down chopper with a P&O algorithm, as shown in Figure 9. This array consists of five photovoltaic
panels (REC_330NP), which will generate a total peak power of 1650 Wp under standard conditions, where
the temperature of the PV array is maintained at a fixed value of 25 °C. It should be noted that the irradiance
changes almost every three seconds.
Figures 10, 11 and 12 show the irradiance, duty cycle, and power delivered by the MPPT controller
to the pump over time, respectively. It can be seen in Figure 10 as the time increases, the irradiance increases
in steps. This evolution presents a real situation of the system in which it will operate. According to
Figure 11, the evolution of the duty cycle depends on the evolution of the irradiance. This change is reflected
in the amount of energy available on the PV generator. Concerning the power, Figure 12 shows the extraction
ratio between the PV generators traversing the converter. This figure shows the efficiency of the P&O MPPT
controller. It also displays the amplitude and frequency of the pump power oscillations which depend on the
step size of the duty cycle variation. It is worth noting that a small step size of duty cycle variation indicates
very good performance when the irradiance varies very slowly, yet a relatively poor dynamic response when
sudden changes in irradiance happen. In this case, a step size of 0.001 in duty cycle gives a pump power variation
fluctuating around 2 watts.
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(a) (b)
Figure 8. The REC_330NP caracteristics under variable temperature (a) the power-voltage characteristics and
(b) the current-voltage characteristics
Figure 9. Simulation block diagram of the photovoltaic water pumping system
Figure 10. Profile of irradiance variation Figure 11. Variation of duty cycle
Table 2 summarizes the different power output points of this system under different metrological
conditions. Based on the metrological data of the region, the average irradiance value is about 900 W/m2,
presents an efficiency of 95% energy extraction. It can be concluded that this P&O MPPT presents a very
acceptable dynamic response for this solar pumping system. It also reaches and converges to the maximum
power point despite the irradiance variations. From the beginning of this simulation, we can note that the
system is stagnant, and works at MPP on the one hand. On the other hand, the operating point does not
deviate from the MPP under unstable weather conditions.
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Figure 12. The power delivered by the P&O MPPT controller to the pump
Table 2. Recorded results of a solar water pumping systems
Irradiance (W/m2) 700 800 900 1000 1100 1250
Temperature °C 25 25 25 25 25 25
Power max (W) 230 265 300 330 356 429
Power GPVmax (W) 1150 1325 1500 1650 1780 2145
Duty 0.40 0.45 0.50 0.55 0.60 0.67
Pump Power (W) 1073 1250 1434 1620 1735 2100
efficiency 0.93 0.94 0.95 0.98 097 0.97
4. CONCLUSION
Energy charges are the main expense for farmers. Once the pumping system is installed, the use of
solar energy presents a technological solution to reduce energy costs. The maximum power is the main index
to assess the performance of the pumping system of the photovoltaic generator. There is an optimal voltage
value for this power, which is the maximum power point on the one hand. On the other hand, the maximum
power point varies with meteorological conditions, which leads to a change in this point and energy loss. In
this work, the P&O MPPT controller presents a better solution for the operation of photovoltaic water
pumping system.
ACKNOWLEDGEMENTS
The authors would like to thank Mr. Ali Essahlaoui, in the framework of the project ''Gestion
intégrée des Ressources en eau (GIRE)".
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BIOGRAPHIES OF AUTHORS
Abdelilah Hilali is an associate professor at the center of preparatory classes in
Settat, Morocco. He is currently a student researcher at the Faculty of Science of Meknes,
Morocco. He holds a master's degree specialized in industrial automated systems
engineering at the Faculty of Sciences of Fez, Sidi Mohamed Ben Abdelah University, in
Morocco. His research focuses on the optimization of solar water pumping systems and
renewable energy, power quality, high quality utility interface, power electronics, power
generation, power grids, power supply quality, power transmission reliability, power system
stability, power transmission lines, power transmission planning, power transmission
protection, circuit breakers, harmonic distortion, load flow control, overcurrent protection,
power distribution protection, and artificial intelligence applied power system, He can be
contacted at the following email address: ab.hilali@edu.umi.ac.ma.
Yahya Mardoude is a Teacher in the secondary cycle at the Ministry of
Education. He is currently a research student at the Faculty of Science in Meknes, Morocco.
He holds a master's degree specialized in industrial automated systems engineering at the
Faculty of Sciences of Fez, Sidi Mohamed Ben Abdelah University, in Morocco. His
research focuses on improving the performance of dual-motor machines and renewable
energy high quality utility interface, power electronics, power generation, power grids,
power supply quality, power transmission reliability, power system stability, power
transmission lines, power transmission planning, power transmission protection, circuit
breakers,. He can be contacted by email: ma.yahya@edu.umi.ac.ma.
10. Int J Elec & Comp Eng ISSN: 2088-8708
Design, modeling and simulation of perturb and observe maximum power point … (Abdelilah Hilali)
3439
Youssef Ben Akka is a secondary school teacher at the Ministry of Education.
He is currently a research student at the Faculty of Science in Meknes, Morocco. His
research focuses on the remote control of industrial processes applied to renewable energy,
power electronics, power generation, power grids, power supply quality, mechanics,
energetics and electronics, power transmission reliability, power system stability, power
transmission lines, power transmission planning, power transmission protection, circuit
breakers, harmonic distortion, load flow control, overcurrent protection, power distribution
protection, and artificial intelligence applied power system. He can be contacted by e-mail:
benakka.y@gmail.com.
Hassan El Alami is a Professor in the Department of Physics, Faculty of
Sciences, Moulay Ismaïl University, Meknes, Morocco. He is currently a member of the
"Electronics, Communication Systems and Energy Optimization" team at the Laboratory of
Optics, Information Processing, Mechanics, Energetics and Electronics. His research
interests include industrial process control, optimization of solar water pumping systems,
control of greenhouse climatic parameters and rationalization of natural resources include
renewable energy, power quality, high quality utility interface, power electronics, power
generation, power grids, power supply quality, power transmission reliability, power system
stability, power transmission lines, power transmission planning, power transmission
protection, circuit breaker. He can be contacted at email: Hassan.genielog@gmail.com
Abderrafii Rahali is a professor of higher education at the Department of
Physics of the Faculty of Science of Meknes, University Moulay Ismail, Morocco. He is
currently in charge of the "Electronics, Communication Systems and Energy Optimization"
team at the Laboratory of Optics, Information Processing, Mechanics, Energetics and
Electronics. His research interests include industrial process control, optimization of solar
water pumping systems, control of greenhouse climatic parameters and rationalization of
natural resources include renewable energy, power quality, high quality utility interface,
power electronics, power generation, power grids, power supply quality, power transmission
reliability, power system stability, power transmission lines, power transmission planning,
power transmission protection, circuit breakers, harmonic distortion, load flow control,
overcurrent protection, power distribution protection, and artificial intelligence applied
power system,. He can be contacted at the following email: a.rahali@umi.ac.ma.