This document summarizes the design and performance analysis of a photovoltaic (PV) grid-tied system with an energy storage system. The system consists of an 8 kW solar array, 600 V maximum power point tracking charging controller, 7.6 kW grid-tied inverter, and 600 Ah battery bank. Simulations of the system are performed using the System Advisor Model software to analyze the system's performance. The results show the solar panels provide power during the day while the batteries provide power in the evenings and help reduce peak loads and electric bills through peak shaving. The battery can be coupled to the grid through AC or DC modes and the system ensures power supply even when the grid goes down by using the batteries and
This article presents the system design and prediction performance of a 1kW capacity grid-tied photovoltaic inverter applicable for low or medium-voltage electrical distri-bution networks. System parameters, for instance, the longitude and latitude of the solar plant location, panel orientation, tilt and azimuth angle calculation, feasibility testing, optimal sizing of installment are analyzed in the model and the utility is sim-ulated precisely to construct an efficient solar power plant for residential applications. In this paper, meteorological data are computed to discuss the impact of environmen-tal variables. As regards ensuring reliability and sustenance, a simulation model of the system of interest is tested in the PVsyst software package. Simulation results yield that the optimum energy injected to the national grid from the solar plant, specific pro-duction, and performance ratio are 1676kWh/year, 1552kWh/kWp/year, and 79.29% respectively. Moreover, the predicted carbon footprint reduction is 23.467 tons during the 30 years lifetime of the system. Therefore, the performance assessments affirm the effectiveness of the proposed research.
Control Strategy for Distributed Integration of Photovoltaic and Battery Ener...TELKOMNIKA JOURNAL
The micro-grid deployments are growing with independently, power system designers,
manufacturers and researchers for the applications where the loads are more efficient association with
extra output sources such as Battery Energy Storage System (BESS), and Photovoltaic (PV) systems.
Using renewable source as main sources for micro-grid system also can avoid from the pollution to occur.
Energy storage when combined with PV system can provide a stronger economic performance, as well as
an added benefit of backup power for critical loads. This project proposed control strategies for integration
of BESS and PV in a micro-grid. The operation enables the maximum PV and BESS utilization during
different operating condition of the micro-grid, grid connected, islanded mode or a process between these
two operations. The project will focus on analyzing the performance between photovoltaic system and
battery in the simulations of micro-grids system and validate the simulation result using
MATLAB/SIMULINK software. After the simulation was analyzed, the understanding of benefit in using
renewable energy source as main power supply with support from battery energy storage to supply the
power to the loads and power managements is realized in the different modes on micro-grid which is grid
connected or islanded states. When the power generation from PV system was not enough to
accommodate electric loads, the BESS or from secondary side of transformer will supply the insufficient
power.
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.
Integrated Coordination of Electric Vehicle Operations and Renewable Energy G...IJECEIAES
This paper designs a microgrid energy controller capable of creating a charging or discharging schedule for electric vehicles (EVs), aiming at leveraging the integration of renewable energy and shaving the peak load in the microgrid. Dynamically activated on each time slotto cope with the prediction error for the power consumption and the renewable energy generation, the controller calculates the number of EVs to charge or make discharge first. Then, a greedy algorithm-based scheduler selects EVs according to the expected energy potentialduring their stays. The potential is the integral of a supply-demand margin function from thecurrent time to the expected departure time. A simulator is implemented for performance evaluation, comparing with uncoordinated scheduling, according to the number of EVs aswell as the behavior of energy load and production. The experiment result shows that theproposed scheme can reduce the energy waste by 16.9 %, cut down the microgrid-level energy insufficiency by 12.2 %, and enhance the amount of electricity supplied to EVs by 37.3%, respectively, for given parameter setting.
This article presents the system design and prediction performance of a 1kW capacity grid-tied photovoltaic inverter applicable for low or medium-voltage electrical distri-bution networks. System parameters, for instance, the longitude and latitude of the solar plant location, panel orientation, tilt and azimuth angle calculation, feasibility testing, optimal sizing of installment are analyzed in the model and the utility is sim-ulated precisely to construct an efficient solar power plant for residential applications. In this paper, meteorological data are computed to discuss the impact of environmen-tal variables. As regards ensuring reliability and sustenance, a simulation model of the system of interest is tested in the PVsyst software package. Simulation results yield that the optimum energy injected to the national grid from the solar plant, specific pro-duction, and performance ratio are 1676kWh/year, 1552kWh/kWp/year, and 79.29% respectively. Moreover, the predicted carbon footprint reduction is 23.467 tons during the 30 years lifetime of the system. Therefore, the performance assessments affirm the effectiveness of the proposed research.
Control Strategy for Distributed Integration of Photovoltaic and Battery Ener...TELKOMNIKA JOURNAL
The micro-grid deployments are growing with independently, power system designers,
manufacturers and researchers for the applications where the loads are more efficient association with
extra output sources such as Battery Energy Storage System (BESS), and Photovoltaic (PV) systems.
Using renewable source as main sources for micro-grid system also can avoid from the pollution to occur.
Energy storage when combined with PV system can provide a stronger economic performance, as well as
an added benefit of backup power for critical loads. This project proposed control strategies for integration
of BESS and PV in a micro-grid. The operation enables the maximum PV and BESS utilization during
different operating condition of the micro-grid, grid connected, islanded mode or a process between these
two operations. The project will focus on analyzing the performance between photovoltaic system and
battery in the simulations of micro-grids system and validate the simulation result using
MATLAB/SIMULINK software. After the simulation was analyzed, the understanding of benefit in using
renewable energy source as main power supply with support from battery energy storage to supply the
power to the loads and power managements is realized in the different modes on micro-grid which is grid
connected or islanded states. When the power generation from PV system was not enough to
accommodate electric loads, the BESS or from secondary side of transformer will supply the insufficient
power.
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.
Integrated Coordination of Electric Vehicle Operations and Renewable Energy G...IJECEIAES
This paper designs a microgrid energy controller capable of creating a charging or discharging schedule for electric vehicles (EVs), aiming at leveraging the integration of renewable energy and shaving the peak load in the microgrid. Dynamically activated on each time slotto cope with the prediction error for the power consumption and the renewable energy generation, the controller calculates the number of EVs to charge or make discharge first. Then, a greedy algorithm-based scheduler selects EVs according to the expected energy potentialduring their stays. The potential is the integral of a supply-demand margin function from thecurrent time to the expected departure time. A simulator is implemented for performance evaluation, comparing with uncoordinated scheduling, according to the number of EVs aswell as the behavior of energy load and production. The experiment result shows that theproposed scheme can reduce the energy waste by 16.9 %, cut down the microgrid-level energy insufficiency by 12.2 %, and enhance the amount of electricity supplied to EVs by 37.3%, respectively, for given parameter setting.
A Review on Fuzzy-GA Based Controller for Power Flow Control in Grid Connecte...Yayah Zakaria
Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique
is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was
proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the
Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.
Operation and Control of Grid Connected Hybrid AC/DC Microgrid using Various RESIAES-IJPEDS
This paper proposes a Hybrid AC/DC Microgrid in alliance with Photo Voltaic (PV) energy, Wind Energy and Proton Exchange Membrane (PEM) Fuel cells. Microgrids are becoming increasingly attractive to the researchers because of the less greenhouse gases, low running cost, and flexibility to operate in connection with utility grid. The Hybrid AC/DC Microgrid constitutes independent AC and DC subgrids, where all the corresponding sources and loads are connected to their respective buses and these buses are interfaced using an interfacing converter. The Hybrid AC/DC Microgrid increases system efficiency by reducing the multiple reverse conversions involved in conventional RES integration to grid. A Small Hybrid AC/DC Microgrid in grid connected mode was modeled and simulated in MATLAB- SIMULINK environment. The simulation results prove the stable operation considering the uncertainty of generations and loads.
Multi agent oriented solution for forecasting-based control strategy with loa...Mohamed Ghaieth Abidi
To improve the power supply availability in an island microgrid, this paper proposes a new approach that integrates distributed energy sources economically, reliably and efficiently. In an island mode, a microgrid must ensure its self-sufficiency of energy production since it cannot make an energetic exchange with a main grid. However, in this mode, the random behavior of the resources affected by meteorological factors presents a major constraint. The challenge related to the power availability in microgrids is to find a solution that faces the operation of intermittent power sources. The microgrid should guarantee a useful power management in order to achieve a high availability of energy. In this paper, we present a mathematical model to describe the influence of the meteorological factors on the sources production. We propose a multi-agent control strategy based on the production forecasting and load shedding for a high availability of the microgrid power supply. The proposed multi-agent system uses the master-slave model in which the communication and negotiation between the defined agents are performed by a concept of tokens. The developed control system is implemented on Spartan 6 FPGA-Board. The paper's contribution is applied to a Tunisian petroleum platform where several blackouts are recorded between 2012 and 2014. Simulation and experimental results show clearly a high availability as a performance of the proposed control strategy.
Design and control of renewable power system through wsn in mirogridtheijes
Recently the control of microgrid has been the focus of extensive research due to its flexibility to effectively utilize the micro-sources while ensuring reliability. The microgrid technology is one of the recent developments in the area of electric power systems that aid the use of non-conventional energy sources in parallel with the conventional energy sources. Monitoring and control of microgrid is essential for its efficient and effective functioning. The work presented in this paper is focused on the design, control and development of synchronization between non-conventional energy sources (photovoltaic panel) and conventional energy sources (battery) to satisfy the power demand of the grid by using WSN ( wireless sensor networks) technology. The objective of this paper is to propose a prototype to study the performance analysis of power monitoring between photovoltaic panel and battery by sensing parameters like generated power, availability of power reserve etc through WSN (ZigBee). The key simulation and experimental results are included to verify the proper operation and control of microgrid.
Modeling, Control and Power Management Strategy of a Grid connected Hybrid En...IJECEIAES
This paper presents the detailed modeling of various components of a grid connected hybrid energy system (HES) consisting of a photovoltaic (PV) system, a solid oxide fuel cell (SOFC), an electrolyzer and a hydrogen storage tank with a power flow controller. Also, a valve controlled by the proposed controller decides how much amount of fuel is consumed by fuel cell according to the load demand. In this paper fuel cell is used instead of battery bank because fuel cell is free from pollution. The control and power management strategies are also developed. When the PV power is sufficient then it can fulfill the load demand as well as feeds the extra power to the electrolyzer. By using the electrolyzer, the hydrogen is generated from the water and stored in storage tank and this hydrogen act as a fuel to SOFC. If the availability of the power from the PV system cannot fulfill the load demand, then the fuel cell fulfills the required load demand. The SOFC takes required amount of hydrogen as fuel, which is controlled by the PID controller through a valve. Effectiveness of this technology is verified by the help of computer simulations in MATLAB/SIMULINK environment under various loading conditions and promising results are obtained.
Abstract The demand for high quality electricity and growing electricity consumption has been caused by increasing electrification of daily life causes and the rising number of sensitive or critical loads. Due to the rapid increase in global energy consumption and the diminishing of fossil fuels, the customer demand for new generation capacities and efficient energy production, delivery and utilization keeps rising. The micro grid concept has the potential to solve major problems arising from large penetration of distributed generation in distribution systems. A proper control strategy should be implemented for a successful operation of a micro grid . Different load models can be simulated and analyzed using MATLAB and PSCAD software. In this paper, the work done in the field of Micro Grid has been reviewed. Keywords: DER, MG, PCC, PV, VSI.
Control for Grid Connected and Intentional Islanding of Distributed Power Gen...ijtsrd
As the demand for more reliable and secure power system with greater power quality increases, the concept of distributed generation DG have become more popular. This popularity of DG concept has developed simultaneously with the decrease in manufacturing costs associated with clean and alternative technologies like fuel cells, biomass, micro turbine and solar cell systems. Intentional islanding is the purposeful sectionalisation of the utility system during widespread disturbances to create power “islandâ€. This island can be designed to maintain a continuous supply of power during disturbances of the main distribution system. Ruchali Borkute | Nikita Malwar ""Control for Grid Connected and Intentional Islanding of Distributed Power Generation"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23679.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/23679/control-for-grid-connected-and-intentional-islanding-of-distributed-power-generation/ruchali-borkute
Intelligent control of battery energy storage for microgrid energy management...IJECEIAES
In this paper, an intelligent control strategy for a microgrid system consisting of Photovoltaic panels, grid-connected, and li-ion battery energy storage systems proposed. The energy management based on the managing of battery charging and discharging by integration of a smart controller for DC/DC bidirectional converter. The main novelty of this solution are the integration of artificial neural network (ANN) for the estimation of the battery state of charge (SOC) and for the control of bidirectional converter. The simulation results obtained in the MATLAB/Simulink environment explain the performance and the robust of the proposed control technique.
A photovoltaic system using supercapacitor energy storage for power equilibri...IJECEIAES
In a photovoltaic system, a stable voltage and of tolerable power equilibrium is needed. Hence, a dedicated analog charge controller for a storage system which controls energy flow to impose power equilibrium, and therefore, voltage stability on the load is required. We demonstrate here our successful design considerations employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system, incorporating a dedicated supercapacitor charge controller for the first time. Firstly, we demonstrated a photovoltaic system employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system. Secondly, we design a constant voltage maximum power point tracker (MPPT) for peak power extraction from the photovoltaic generator. Thirdly, we incorporated a supercapacitor charge controller for power equilibrium and voltage stability through a dedicated analog charge controller in our design, the first of its kind. Fourthly, we analyzed the use of supercapacitor storage to mitigate disequilibrium between power supply and demands, which, in turn, causes overvoltage or under voltage across the load. Lastly, we then went ahead to demonstrate the control of the energy flow in the system so as to maintain rated voltage across a variant demand load.
A Review on Fuzzy-GA Based Controller for Power Flow Control in Grid Connecte...Yayah Zakaria
Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique
is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was
proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the
Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.
Operation and Control of Grid Connected Hybrid AC/DC Microgrid using Various RESIAES-IJPEDS
This paper proposes a Hybrid AC/DC Microgrid in alliance with Photo Voltaic (PV) energy, Wind Energy and Proton Exchange Membrane (PEM) Fuel cells. Microgrids are becoming increasingly attractive to the researchers because of the less greenhouse gases, low running cost, and flexibility to operate in connection with utility grid. The Hybrid AC/DC Microgrid constitutes independent AC and DC subgrids, where all the corresponding sources and loads are connected to their respective buses and these buses are interfaced using an interfacing converter. The Hybrid AC/DC Microgrid increases system efficiency by reducing the multiple reverse conversions involved in conventional RES integration to grid. A Small Hybrid AC/DC Microgrid in grid connected mode was modeled and simulated in MATLAB- SIMULINK environment. The simulation results prove the stable operation considering the uncertainty of generations and loads.
Multi agent oriented solution for forecasting-based control strategy with loa...Mohamed Ghaieth Abidi
To improve the power supply availability in an island microgrid, this paper proposes a new approach that integrates distributed energy sources economically, reliably and efficiently. In an island mode, a microgrid must ensure its self-sufficiency of energy production since it cannot make an energetic exchange with a main grid. However, in this mode, the random behavior of the resources affected by meteorological factors presents a major constraint. The challenge related to the power availability in microgrids is to find a solution that faces the operation of intermittent power sources. The microgrid should guarantee a useful power management in order to achieve a high availability of energy. In this paper, we present a mathematical model to describe the influence of the meteorological factors on the sources production. We propose a multi-agent control strategy based on the production forecasting and load shedding for a high availability of the microgrid power supply. The proposed multi-agent system uses the master-slave model in which the communication and negotiation between the defined agents are performed by a concept of tokens. The developed control system is implemented on Spartan 6 FPGA-Board. The paper's contribution is applied to a Tunisian petroleum platform where several blackouts are recorded between 2012 and 2014. Simulation and experimental results show clearly a high availability as a performance of the proposed control strategy.
Design and control of renewable power system through wsn in mirogridtheijes
Recently the control of microgrid has been the focus of extensive research due to its flexibility to effectively utilize the micro-sources while ensuring reliability. The microgrid technology is one of the recent developments in the area of electric power systems that aid the use of non-conventional energy sources in parallel with the conventional energy sources. Monitoring and control of microgrid is essential for its efficient and effective functioning. The work presented in this paper is focused on the design, control and development of synchronization between non-conventional energy sources (photovoltaic panel) and conventional energy sources (battery) to satisfy the power demand of the grid by using WSN ( wireless sensor networks) technology. The objective of this paper is to propose a prototype to study the performance analysis of power monitoring between photovoltaic panel and battery by sensing parameters like generated power, availability of power reserve etc through WSN (ZigBee). The key simulation and experimental results are included to verify the proper operation and control of microgrid.
Modeling, Control and Power Management Strategy of a Grid connected Hybrid En...IJECEIAES
This paper presents the detailed modeling of various components of a grid connected hybrid energy system (HES) consisting of a photovoltaic (PV) system, a solid oxide fuel cell (SOFC), an electrolyzer and a hydrogen storage tank with a power flow controller. Also, a valve controlled by the proposed controller decides how much amount of fuel is consumed by fuel cell according to the load demand. In this paper fuel cell is used instead of battery bank because fuel cell is free from pollution. The control and power management strategies are also developed. When the PV power is sufficient then it can fulfill the load demand as well as feeds the extra power to the electrolyzer. By using the electrolyzer, the hydrogen is generated from the water and stored in storage tank and this hydrogen act as a fuel to SOFC. If the availability of the power from the PV system cannot fulfill the load demand, then the fuel cell fulfills the required load demand. The SOFC takes required amount of hydrogen as fuel, which is controlled by the PID controller through a valve. Effectiveness of this technology is verified by the help of computer simulations in MATLAB/SIMULINK environment under various loading conditions and promising results are obtained.
Abstract The demand for high quality electricity and growing electricity consumption has been caused by increasing electrification of daily life causes and the rising number of sensitive or critical loads. Due to the rapid increase in global energy consumption and the diminishing of fossil fuels, the customer demand for new generation capacities and efficient energy production, delivery and utilization keeps rising. The micro grid concept has the potential to solve major problems arising from large penetration of distributed generation in distribution systems. A proper control strategy should be implemented for a successful operation of a micro grid . Different load models can be simulated and analyzed using MATLAB and PSCAD software. In this paper, the work done in the field of Micro Grid has been reviewed. Keywords: DER, MG, PCC, PV, VSI.
Control for Grid Connected and Intentional Islanding of Distributed Power Gen...ijtsrd
As the demand for more reliable and secure power system with greater power quality increases, the concept of distributed generation DG have become more popular. This popularity of DG concept has developed simultaneously with the decrease in manufacturing costs associated with clean and alternative technologies like fuel cells, biomass, micro turbine and solar cell systems. Intentional islanding is the purposeful sectionalisation of the utility system during widespread disturbances to create power “islandâ€. This island can be designed to maintain a continuous supply of power during disturbances of the main distribution system. Ruchali Borkute | Nikita Malwar ""Control for Grid Connected and Intentional Islanding of Distributed Power Generation"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23679.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/23679/control-for-grid-connected-and-intentional-islanding-of-distributed-power-generation/ruchali-borkute
Intelligent control of battery energy storage for microgrid energy management...IJECEIAES
In this paper, an intelligent control strategy for a microgrid system consisting of Photovoltaic panels, grid-connected, and li-ion battery energy storage systems proposed. The energy management based on the managing of battery charging and discharging by integration of a smart controller for DC/DC bidirectional converter. The main novelty of this solution are the integration of artificial neural network (ANN) for the estimation of the battery state of charge (SOC) and for the control of bidirectional converter. The simulation results obtained in the MATLAB/Simulink environment explain the performance and the robust of the proposed control technique.
A photovoltaic system using supercapacitor energy storage for power equilibri...IJECEIAES
In a photovoltaic system, a stable voltage and of tolerable power equilibrium is needed. Hence, a dedicated analog charge controller for a storage system which controls energy flow to impose power equilibrium, and therefore, voltage stability on the load is required. We demonstrate here our successful design considerations employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system, incorporating a dedicated supercapacitor charge controller for the first time. Firstly, we demonstrated a photovoltaic system employing supercapacitors as main energy storage as well as a buffer in a standalone photovoltaic system. Secondly, we design a constant voltage maximum power point tracker (MPPT) for peak power extraction from the photovoltaic generator. Thirdly, we incorporated a supercapacitor charge controller for power equilibrium and voltage stability through a dedicated analog charge controller in our design, the first of its kind. Fourthly, we analyzed the use of supercapacitor storage to mitigate disequilibrium between power supply and demands, which, in turn, causes overvoltage or under voltage across the load. Lastly, we then went ahead to demonstrate the control of the energy flow in the system so as to maintain rated voltage across a variant demand load.
Stability model integration for large scale solar photovoltaic system using ...IJECEIAES
Due to the increased demand for renewable energy, the interest in the large-scale solar photovoltaic (LSSPV) power plant has recently grown dramatically. However, when a large amount of electricity is produced from the LSSPV power plant to the grid interconnection, the system commonly experiences instability and thus disrupt the grid system in disturbance issues such as bus fault, line-to-line fault, three-phase fault, and tripping. This sudden disturbance occurrence is tended to interrupt the stability of the system from providing balanced electrical production within the electrical grid. A dynamics response from the simulation is used to study the stability and the behavior of the photovoltaic (PV) plant into the grid interconnection by developing 118 bus system. The observation of critical clearing time (CCT) duration shows that the result from the simulation where the duration takes less than t=15 s for the system to get back to its pre-fault condition in three-phase fault and tripping in a dynamic simulation to shows that the system reaches its stability been observed through the simulation result by using from user-specific models to generic models like those advocated by the Western electricity coordinating council (WECC) in power system simulator for engineering (PSSE) software.
A Review on Fuzzy-GA Based Controller for Power Flow Control in Grid Connecte...IJECEIAES
Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.
Performance analysis of grid-tied photovoltaic system under varying weather c...IJECEIAES
Model and simulation of the impact of the distribution grid-tied photovoltaic (PV) system feeding a variable load with its control system have been investigated in this study. Incremental Conductance (IncCond) algorithm based on maximum power point tracking (MPPT) was implemented for the PV system to extract maximum power under different weather conditions when solar irradiation varies between 250 W/m 2 and 1000 W/m 2 . The proposed system is modelled and simulated with MATLAB/Simulink tools. Under different weather conditions, the dynamic performance of the PV system is evaluated. The results obtained show the efficacy of the proposed MPPT method in response to rapid daytime weather variations. The results also show that the surplus power generated is injected into the grid when the injected power from the PV system is higher than the load demand; otherwise, the grid supplies the load.
This paper discusses about a LabVIEW based controller for the hybrid renewable energy system operated AC-DC microgrid with the major objectives of: i) predicting the power generation potential of the solar–PV and wind generators ii) effective power management iii) load scheduling based on the available power with the renewable sources and iv) grid/islanding mode of operation of the microgrid. In order topredict the output power of wind generator and Solar-PV system, an artificial neural network is developed.The laboratory-scale model of three phase, 400 V, 10 kVA microgrid structure is developed at National Institute of Technology Calicut, India. The developed LabVIEW based controller has been tested successfully for a real-time load and source in the laboratory environment. Test results show that the designed controller is effectively managing the output powerof the primary energy sources under different scenarios.
Electric Vehicle as an Energy Storage for Grid Connected Solar Power SystemIAES-IJPEDS
In the past few years the growing demand for electricity and serious concern
for the environment have given rise to the growth of sustainable sources like
wind, solar, tidal, biomass etc. The technological advancement in power
electronics has led to the extensive usage of solar power. Solar power output
varies with the weather conditions and under shading conditions. With the
increasing concerns of the impacts of the high penetration of Photovoltaic
(PV) systems, a technical study about their effects on the power quality of
the utility grid is required. This paper investigates the functioning of a gridtied
PV system along with maximum power point tracking (MPPT)
algorithm. The effects of varying atmospheric conditions like solar irradiance
and temperature are also taken into account. It is proposed in this work that
an Electric Vehicle (EV) can be used as an energy storage to stabilize the
power supplied to the grid from the photovoltaic resources. A coordinated
control is necessary for the EV to obtain desired outcome. The modeling of
the PV and EV system is carried out in PSCAD and the proposed idea is
verified through simulation results utilizing real field data for solar irradiance
and temperature.
An efficient optical inspection of photovoltaic modules deploying edge detec...IJECEIAES
With the enhanced industrial and domestic energy needs, there is a great urge for renewable energy sources because of their eco-friendly nature. Solar energy is crucial among renewable energy sources and there is a great need to optimize and enhance the performance of solar energy usage that is mainly dependent on the system components. The current work has been aimed to discuss the fault detection of photovoltaic (PV) modules by evaluating an efficient, facile inspection algorithm electrical analysis for real-time applications. The paper presents a real-time experimental model for infrared thermography using a thermal imager mounted on a tripod at a suitable distance from the PV modules to capture the images in the best possible way. A novel hybrid algorithm has been proposed and the fault detection along with the electrical parameter analysis has been accurately performed on the PV modules to analyze and process various externally induced faults in the PV systems.
Application of the Least Square Support Vector Machine for point-to-point for...IJECEIAES
In today's industrial world, the growing capacity of renewable energy sources is a crucial factor for sustainable power generation. The application of solar photovoltaic (PV) energy sources, as a clean and safe renewable energy resource has found great attention among the consumers in the recent decades. Accurate forecasting of the generated PV power is an important task for scheduling the generators and planning the consumption patterns of customers to save electricity costs. To this end, it is necessary to develop a global model of the generated power based on the effective factors which are mainly the solar radiation intensity and the ambient weather temperature. As a result of the wide numerical range of these parameters and various weather conditions, a large training database must be used for developing the models, which results in high-computational complexity of the algorithms used for training the models. In this paper, a novel algorithm for point to point prediction of the generated power based on the least squares support vector machine (LS-SVM) has been proposed which can handle the large training database with a very fewer deal of computation and benefits from reasonable accuracy and generalization capability.
This paper describes the performance of tracking photovoltaic (PV) system for mobile station. The system consists of tracking PV array, the battery bank, the maximum power point tracking (MPPT) controller and the DC/AC inverter). This system is the first full solar power station, which acts as pilot project by Celcom Sdn. Bhd. Success of this system shows potential of electrify rural remote area. The design is hoped to be a pioneer and acts as well-known system in order to ensure renewable energy is the future supply of electricity in far located urban area. This paper showes the record of the battery state-of-charge (SOC) as a function of time for rainy and sunny days.
Fuzzy logic-based controller of the bidirectional direct current to direct cu...IJECEIAES
Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage to charge and discharge based on state-of-charge (SoC) value, this type of battery requires the use of an energy management system. The main objective of this paper is to propose an intelligent control strategy for energy management in the microgrid to control the charge and discharge of Li-ion batteries to stabilize the system and reduce the cost of electricity due to the high cost of grid electricity. The proposed technique is based on a fuzzy logic controller (FLC) for voltage control. The FLC is based on the measured voltage of the direct current (DC) bus and the fixed reference voltage to generate buck/boost converter signal control. The proposed technique has been simulated and tested using MATLAB/Simulink software which illustrates the tracking of desired power and DC bus voltage regulation. The simulation results confirm that the proposed systems can diminish the deviations of the system's voltage.
Similar to Design and performance analysis of PV grid-tied system with energy storage system (20)
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
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
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Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
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DESIGN AND ANALYSIS OF A CAR SHOWROOM USING E TABS
Design and performance analysis of PV grid-tied system with energy storage system
1. International Journal of Electrical and Computer Engineering (IJECE)
Vol. 11, No. 2, April 2021, pp. 1077~1085
ISSN: 2088-8708, DOI: 10.11591/ijece.v11i2.pp1077-1085 1077
Journal homepage: http://ijece.iaescore.com
Design and performance analysis of PV grid-tied system with
energy storage system
Jerry Kumar1
, Nanik Ram Parhyar2
, Manoj Kumar Panjwani3
, Danish Khan4
1,3,4
Renewable Energy School, North China Electric Power University, China
2,3
Department of Energy Systems Engineering, Sukkur IBA University, Pakistan
2
School of Information and Electronics, Beijing Institute of Technology, China
Article Info ABSTRACT
Article history:
Received Jan 6, 2020
Revised Jun 21, 2020
Accepted Jul 11, 2020
With the increasing demand for solar energy as a renewable source has
brought up new challenges in the field of energy. However, one of the main
advantages of photovoltaic (PV) power generation technology is that it can
be directly connected to the grid power generation system and meet the
demand of increasing energy consumption. Large-scale PV grid-connected
power generation system put forward new challenges on the stability and
control of the power grid and the grid-tied photovoltaic system with an
energy storage system. To overcome these problems, the PV grid-tied system
consisted of 8 kW PV array with energy storage system is designed, and in
this system, the battery components can be coupled with the power grid by
AC or DC mode. In addition, the feasibility and flexibility of the maximum
power point tracking (MPPT) charge controller are verified through the
dynamic model built in the residential solar PV system. Through the
feasibility verification of the model control mode and the strategy control,
the grid-connected PV system combined with reserve battery storage can
effectively improve the stability of the system and reduce the cost of power
generation. To analyze the performance of the grid-tied system, some real-
time simulations are performed with the help of the system advisor model
(SAM) that ensures the satisfactory working of the designed PV grid-tied
system.
Keywords:
Control strategy
Depth of discharge
Grid-tied system
Insolation
Inverter
Lithium-ion battery
Photovoltaic
This is an open access article under the CC BY-SA license.
Corresponding Author:
Manoj Kumar Panjwani
Department of Energy Systems Engineering
Sukkur IBA University
Pakistan
Email: manoj.panjwani@iba-suk.edu.pk
1. INTRODUCTION
Renewable energies are making their mark on high in the field of solar and wind energy owing to
the clean energy and its replenishing ability. Recently, clean energy resources are thoroughly being adopted
and explored due to the increasing environmental concern worldwide [1, 2]. A solar photovoltaic (PV)
system is one of the important renewable energy sources that work on solar energy. The power delivered
from photovoltaic panels relies upon the sun’s radiation. At daytime, there is sufficient sunlight to keep the
cells at most extreme yield; however, around evening time, the energy production is much lower. Despite the
fact that most power is devoured during the day, it is additionally required overnight as well. Unless the
photovoltaic panels are associated with the power grid, it can invert the energy utilization counter making the
need to store power created during the day so it will be accessible overnight or in greatly overcast days.
Energy storage systems outfit power as well as infuse that energy into the grid so suppliers can productively
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meet their requests. Grid-tied PV systems are the most popular choices when it comes to power generation
and fulfills the demand of increased energy consumption. In a grid-tied photovoltaic system, surplus
electricity is stored in batteries or directly fed to the electrical grid network depending on the AC or DC
coupling. Grid-connected PV energy is one of the prominent renewable energy sources and has been widely
investigated. Energy storage has become an important technology to overcome the shortage of electricity in
peak demand. There is a need to fill the gap of financial and technical limitations in the energy storage
technologies like thermal storage, pumped hydro storage, fuel cell storage, batteries, and supercapacitor
[3-6]. To enhance the performance of the grid-tied PV system because of intermittent nature, battery energy
storage system (BESS) is needed. This study is concerned with designing and creating dynamic control
techniques with inverter interfaced BESSs, intending to make certain the proper operation of the microgrid
system in islanded mode. There is a need for power management strategies in an isolated microgrid having a
few small distributed generation systems. Significant frequency vibrations in independent grids require to
have a single dominant energy source that can be utilized for both supplying and absorbing energy. These
frequency vibrations can be mitigated by reducing the computation time using different control and power
management strategies with interfaced BESS.
Site location, system type, and applications are important factors for laying out the solar PV system.
Solar charge controller, battery storage systems, energy sources, and electrical loads are the important
building block of the solar PV system. In this design, the calculations were done both manually and by a real-
time simulation software known as the system advisor model (SAM). With the funding of the U.S. Energy
Department, the National Renewable Energy Laboratory (NREL) has developed the SAM software. This
software is used to design and determine the specifics of the grid-tied storage system along with analyzing
the performance of the system by real-time simulations.
In this work, the grid-tied PV system consisted of 8 kW solar array, 600 V MPPT charging
controller, 7.6 kW grid-tied inverter, 600 Ah battery bank is designed, and the performance is determined by
obtaining simulation results using SAM software. Moreover, this paper is organized as follows. Section 2
describes the literature review of the study, in section 3 research methodologies are mentioned for carrying
out this work, in section 4 design of grid-tied PV system is described along with the simulation results for
analyzing the performance and conclusion is given in section 5.
2. LITERATURE REVIEW
Grid integrated PV systems are the most popular choices when it comes to power generation. The
literature includes simulation and optimization of PV battery systems based on self-consumption. Batteries
have mostly integrated with stand-alone PV systems [7]. Now, they are gaining attention in grid-connected
PV systems under feed-in tariff (FiT) and time of use tariffs [8]. Even though domestic solar PV has high
installation costs, it has been widely adopted by users driven by energy policies in Europe and around the
globe. Large scale production of solar farms is also common due to favorable energy policies.
PV-grid tied system is comprised of PV solar array, an inverter, DC-DC converter, and the power
grid. As the output power from solar panels depends upon solar irradiation thus power generation is
discontinuous in this scenario. To overcome this effect, it is necessary to have a battery storage system for the
smooth operation of the system. This type of grid-connected system suffers from both technical and non-
technical issues [9]. The power interruption, quality of power, islanding, issues of protection, and storage are
some of the technical concerns. Issues of costs, panel cracking, labors lacking skills, and transmission line are
known as non-technical issues [10].
Energy systems equipped with battery storage helps in mitigating the high-frequency intrusion,
which is caused by distributed energy resources having variable nature [11]. It is a vital issue to justify the
importance of battery storage in power generation networks. There is always a case when power generation
does not meet with the required demand even with the distributed energy resources because of the increasing
demand for electricity during peak hours. Thus indicating a poor infrastructure of power generation,
transmission, and distribution [12].
Under the quantity of self-consumption battery storage system and active demand-side management
were studied and concluded by Castillo-Cagigal et al. [13]. It has been found that there is a very important
link between the battery storage capability and electricity energy flow. Moreover, it can be considered an
important variable for decision making. The examination in [14], explored the reasonability of FiT plans for
upgrading the advancement of sustainable power source advances. Lu and Shahidehpour [15] utilized a
Lagrangian relaxation-based enhancement approach for determining the charging and discharging behavior
of battery in a power grid to which PV energy was connected. To determine the number of batteries and PV
modules for stand-alone PV systems with battery storage a formulation based on linear programming was
stated by Kaushika et al. [16]. It will help in the proper operation of the PV system and achieve the hundred
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percent reliability or power supply probability (PSP) having zero loss. For the efficient working of the PV
system supported by battery storage, different studies have been conducted. It was revealed by Halliday et al.
[17], that PV systems with battery storage can offer lifetime capital cost for around 20 years which becomes
approximately 33% of the installed system.
Voltage-current (VI) characteristic diagram of solar systems was created by Appelbaum et al. [18]
to determine the load control and efficient charging and discharging of batteries. Related work on efficient
battery operation was also performed by Fragaki and Markvart [19] that focused on the comparison of
designing and collecting experimental data of PV systems with battery storage. In their study, they tried to
develop and enhance the strategy for the effects of system memory, which was supported by the charge
controller. To achieve the desired performance of recently developed EES systems have suffered in terms of
achieving better response of charging and discharging efficiency, low cost, high energy density, and long life
[20]. To overcome these drawbacks hybrid EES because of its better performance was proposed in his study
having the potential to replace traditional energy storage. Update model named distributed energy resources
customer adoption model (DER-CAM) was developed by Stadler et al. [21]. In this model, Stadler used a
blended integer streamlining program which is known as an efficient program in terms of performance for
distributed energy sources and battery storage systems. To reduce the overall cost and achieve peak power
shaving in smart grid-connected with PV a dynamic programming model was developed by Wang et al. [22].
This dynamic program helped to achieve a profit of 73.9% by implementing the combination of lead-acid and
Lithium-ion batteries.
It is said that by 2030, there will be nine times more solar PV, and five times more wind power will
be implemented as compared to 2013 [23]. The cost factor in a grid-connected system with energy storage is
required to be a tackle for widespread use, which increases by early diminishing of battery parts and
surrounding temperature [24]. Different types of batteries depending upon the capacity, lifetime, charging,
and discharging ability, safety, maintenance, and cost are widely available in the markets. Lead-acid batteries
are currently utilized worldwide to help sustainable power sources. Most of the batteries available in the
market have short cycles and lifetime and operate up to three or four years after proper maintenance. Nickel-
Cadmium batteries have the attributes of an excellent life cycle and the discharge rate is high. However, the
materials used in Nickel-Cadmium batteries are expensive than those in Lead-Acid batteries. Lithium-ion
batteries because of having high energy density, high power, and short discharge cycles are preferred for
electrical vehicles and consumer appliances. However, these types of batteries suffer from overheating and
burst problems [25]. Sodium-sulfur batteries that use molten salt for electrolyte, can operate at high
temperatures but they discharge fully within six hours. Moreover, with series and parallel combinations of
batteries more electricity can be stored and help in managing utility-scale power storage of the grid [26]. The
Korean power company has planned to develop an energy storage system having the capacity of 500 MW in
8 different substations that will be utilized for frequency modulation [27]. Having the applications of
frequency modulation and renewable energy sources, the energy storage system in the power grid has
attracted the market share towards itself in 2015.
3. RESEARCH METHODOLOGY
In this section, research methodology is described for designing and developing the control
strategies for the reliable operation of the microgrid system in islanded mode, which is supported with
inverter interfaced BESSs. In this work, to achieve the rapid time shifting between energy consumption and
generation, a dynamic control system method is developed for BESS in islanded mode. In this research,
different tools are developed that can help in identifying the variation of frequency occurring because of
varying load. The designed control method in this work can address both types of frequency variation caused
by load and power minimization having a storage battery in a charging and discharging manner. It also
maintains a state of charge (SOC) of battery in terms of safe charging and discharging status. Later, by
integrating the developed control tools and designed methods in an islanded microgrid having a battery in a
bi-directional resulted in minimization of variation of frequency that ultimately improved the efficiency of
the designed system.
Whereas, to design the PV grid-tied system and analyze the performance of the system is also
described in this section. Firstly, meteorological data sets were acquired and processed in order to obtain the
most accurate data for the exact location on the planet. A calculation tool was developed in which the
different data needed for the modeling and simulation like weather data, PV plant data, storage variable data,
and load data, etc. is being handled. Later, a model was simulated to inject the PV plant to the grid that will
allow for the fulfillment of management conditions required by the system operator. The electrical storage
system (ESS) using the injection model was simulated and optimized in order to obtain the required capacity
and cycles of the storage system for the different possible scenarios and ratios storage capacity/production.
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Plant production was also calculated under specific storage criteria and different parameters of injection. All
the final results were summed up and concluded, and finally, the design was simulated, and its performance
was analyzed by using SAM software.
The grid-tied system, coupled with battery backup, works on the functionality of time. Upon
execution, the system first measures the amount of solar radiation to see if the solar modules generate enough
power to charge the batteries and also supply to the AC loads through the inverter. On weak radiation days,
the system uses the grid to charge the batteries and supply the difference power generated from the solar
panels. For some reason, if the grid goes down, the system will check the battery status to ensure the power
supply form the backup. The battery and solar panels will work in island mode like an off-grid system. If the
batteries do not have enough charge, the solar panels will switch to charge the batteries first to a threshold
point for discharge until the grid is back online. The following flowchart in Figure 1 gives an illustration of
how the system interacts within.
Figure 1. Grid-tied battery system algorithm flowchart
4. RESULTS AND DISCUSSION
This grid-tied PV system consists of 8 kW solar array, 600 V MPPT charging controller, 7.6 kW
grid-tied inverter, and 600 Ah battery bank. The battery components can be coupled with the power grid by
AC or DC mode. This system is designed by keeping in view of monthly electrical load. Moreover, the
design specification of solar system components is determined by performing calculations manually and
SAM software. To determine the performance of the designed grid-tied system with an energy storage
system, simulation results are obtained with the help of SAM software.
4.1. Annual load profile distribution
The load is distributed over three primary sources of energy with solar power, battery backup, and
the grid. In Figure 2, the blue and red curves represent the electricity to load from PV and Grid. In contrast,
orange and green curves depict the electricity from the battery and total energy consumed by the load,
respectively. During the day, the plant can provide enough power to run the household consumption without
any external source unless the weather turns its production low. As seen in Figure 2, the battery runs during
the evening hours to help with peak shaving and reduce the cost of electric bills. Peak shaving is used to
reduce demand charges of peak loads during the evening. From 10 am to 3 pm, it can be seen that the sun is
highest in the sky and it is when the solar panels will collect the most energy. If the PV system produces
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more energy than the required consumption during the day, the batteries will use the excess in the evening. In
Figure 2, the orange curve shows the battery produces about 0.3 kW of power to lower the grid production
during peak hours, especially during the evening. As a side benefit, even if the power goes out, the solar
storage batteries allows us to keep power running. Normally, grid-connected solar panels also stop working
during a power outage because of the safety risks of overload when the power gets restored.
Figure 2. Electricity to load from grid, PV, and battery
4.2. Grid-tied PV system design and simulation results
Following Figure 3 illustrates the generation and consumption of energy from an 8 kW solar array
for 12 months throughout the year. The generation capacity curve in orange generally takes the shape of a
bell curve on clear days. The consumption load curve in blue indicates typical load peaks in the evening
hours. The amount of solar energy directly corresponds to the portion of consumed power that is inside the
generated PV energy. It can be determined from the results that self-consumption is better because the
average use of solar energy is less than the amount of energy produced by the PV system, and it helps in
lessening the burden on medium and low voltage grid.
Figure 3. Graph of insolation and load vs. time (annual)
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4.3. Battery charge and discharge dispatch times
The cost can be minimized by charging and discharging the battery in dispatchable modes. Each
hour, the system looks at the available dispatchable power sources and chooses to operate the source or the
combination of sources that can produce the required amount of power and operate reverse most cheaply.
There are two different strategies either to charge the battery with a grid when the battery is low or PV solar
array should be used to charge the battery and grid generates power to serve the load. It’s hard to know prior
to the two strategies that will be optimal in any particular application. SAM software allows us to try both for
optimal results shown in Figure 4.
Figure 4. Electricity to battery from grid and PV array
4.4. Unit cost simulations
The utility company set charges according to the time of day, and the rate of utilities per unit in a
day are given in Table 1 accordingly. As shown in Figure 5, the charges fluctuate from 10 am to 8 pm. This
is a strategy that the company implies for consumers to use less electricity during the day since most of the
powered appliances are turned on during these hours. However, there is a constant rate from 9 pm to 9 am for
consumers to enjoy their electronic comforts, such as using washing machines, dryers, etc.
Table 1. Utility rate per day
Period Max. Usage Unit Buy ($/kWh)
1 kWh 0.29101
2 kWh 0.24939
3 kWh 0.26789
4 kWh 0.23939
5 kWh 0.07289
In Figure 6, the manual dispatch is carried out to optimize the battery usage of the PV system.
Where numbers 1 and 2 are the charging times of the battery while 3 is the discharging time. During the day,
dispatch 1 takes place to charge the batteries by the excess energy produced by the solar panels. Since the
electricity rate is low during night time, dispatch 2 takes place to charge the batteries off the grid.
Discharging the batteries (dispatch 3) during the evening period helps to reduce the utility bill. Though
dispatch 1 is set to run the loads first before putting power into the batteries. If, in case of low power
production by the solar panels, the grid will take over to cater for the difference and charge the batteries for
evening peak shaving.
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Figure 5. Annual utility rates in a day Figure 6. Manual battery dispatch
4.5. Battery performance upon charging
According to the simulation results in Figure 7, the lithium iron phosphate battery can hold a 92%
charge at room temperature of 10 o
C. The nominal bank voltage is 13.2 V, and the charging cell voltage is
3.4 V at 200 Ah. Charging the battery involves three stages, which are bulk, absorption, and float. The bulk
stage involves about 80% of the recharge, wherein the charger current is held constant, and the cell voltage
increases 3.6 V. The adequately sized charger manages the battery current as it will accept up to a charger
capacity (25% of the capacity in amp hours), and will raise the battery over 40 o
C. The absorption stage
(approximately remaining 20%) has the charger holding the voltage at the charger’s absorption voltage
(between 13.2 VDC and 13.8 VDC, depending on the charger set points) and decreases the current until the
battery is fully charged. The float stage is where the charge voltage is reduced between 12.2 VDC and
12.8 VDC and held constant. In contrast, the current is reduced to less than 1% of battery capacity to
maintain a fully charged battery indefinitely.
Figure 7. Battery state of charge and depth of discharge
4.6. PV islanding and frequency control
Islanding is the condition in which a distributed generator (DG) continues to power a location even
though the electrical grid power is no longer present. It can be eliminated by using grid-tied inverter used in
this design, that is always connected to the main breaker box to sell excess power to the grid, and whenever
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there is a disturbance in the grid or power outage, the Grid-Tied inverter picks up voltage disturbance from
the power lines and disconnects itself from the grid and allows the workers to repair the grid without being a
risk to a power source.
As shown in Figure 8 and Figure 9, the grid and inverter output are in phase and having a frequency
of 60 Hz when it is supplying power to the household. When the grid goes down, the voltage drops
significantly, and the Grid-Tied inverter shuts off after sensing a change in frequency. The solar panels
connected to the Grid-Tied inverter also stops working. Now the backup hybrid inverter turns on and starts
supplying power to the critical loads' panel from the batteries. Since there is an MPPT charge controller, it
can accommodate power from the solar array and run the loads or charge the battery. The Grid-Tied inverter
senses a new power source, thus it starts to see if the voltage and frequencies are in range, so it is tricked into
working. The system starts working as an off-grid system while being disconnected from the grid. The
workers will be safely repairing the line, and the house can produce power by its battery backup source.
Figure 8. Grid voltage distribution
Figure 9. Inverter voltage distribution
5. CONCLUSION
In this work, the dynamic performance of the grid-tied battery backup system was analyzed to
follow residual power fluctuations. The goal of this research was to develop a design system to help end-
users identify the best investment decision and system size for their specific applications. With the use of
SAM software, a program is developed to maximize saving by minimizing the electricity bill. The model is
capable of identifying the feasibility of investment in PV battery systems and the specifications of the
optimal system. In this design, the LiFePO4 battery offers more with high power applications. In this
designed system, the round trip efficiency of the battery contributes to increasing the overall system
efficiency by 2%. High temperatures 30-40 o
C increase the capacity but decrease the life cycle, whereas in
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low temperatures 10-20 o
C, the vice versa occurs. For optimum usage of the battery, 10 o
C was used so that it
would not overcharge the battery and damage its chemical properties for a better life cycle. Island detecting
was also sorted out for this design. The Grid-Tied inverter works in phase with the grid voltage and
frequency of 240 V at 60 Hz. The shift in the frequency range above 60.2 Hz automatically shuts down the
inverter for protection purposes, increasing the system stability. This decision support program enables the
consumer to implement the most efficient electricity management strategy while achieving the goal of
minimizing the electricity bill.
REFERENCES
[1] M. N. Lakhoua, et al., “System Analysis of a Hybrid Renewable Energy System,” International Journal of
Electrical and Computer Engineering (IJECE), vol. 4, no. 3, pp. 343-350, 2014.
[2] M. K. Panjwani, et al., “Hybrid concentrated photovoltaic thermal technology for domestic water heating,”
Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 16, no. 3, pp. 1136-1143,
2019.
[3] S. Vavilapalli, et al., “Power Balancing Control for Grid Energy Storage System in PV Applications-Real Time
Digital Simulation Implementation,” Energies, vol. 10, no. 7, p. 928, 2017.
[4] G. Swaminathan, et al., “Investigations of microgrid stability and optimum power sharing using robust control of
grid tie pv inverter,” in Advances in Smart Grid and Renewable Energy, pp. 379-387, 2018.
[5] R. M. Larik, et al., “A statistical jacobian application for power system optimization of voltage stability,”
Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 13, no. 1, pp. 331-338, 2019.
[6] A. Castillo and D. F. Gayme, “Grid-scale energy storage applications in renewable energy integration: A survey,”
Energy Conversion and Management, vol. 87, pp. 885-894, 2014.
[7] S. K. Sakiliba, et al., “Assessment of Stand-Alone Residential Solar Photovoltaic Application in Sub-Saharan
Africa: A Case Study of Gambia,” Journal of Renewable Energy, pp. 1-10, 2015.
[8] D. Spiers, “Batteries in PV systems,” in Practical Handbook of Photovoltaics, pp. 721-776, 2012.
[9] A. Anees, “Grid integration of renewable energy sources: Challenges, issues and possible solutions,” 2012 IEEE
5Th India International Conference on Power Electronics (IICPE), 2012, pp. 1-6.
[10] B. Jose, “Grid integration of PV systems-issues and requirements,” 2017 IEEE International Conference on
Circuits and Systems (ICCS), 2017, pp. 215-219.
[11] R. Khalilpour and A. Vassallo, “Planning and operation scheduling of PV-battery systems: A novel methodology,”
Renewable and Sustainable Energy Reviews, vol. 53, pp. 194-208, 2016.
[12] A. Vassallo, “Applications of batteries for grid-scale energy storage,” Advances in Batteries for Medium and
Large-Scale Energy Storage, pp. 587-607, 2015.
[13] M. Castillo-Cagigal, et al., “PV self-consumption optimization with storage and Active DSM for the residential
sector,” Solar Energy, vol. 85, no. 9, pp. 2338-2348, 2011.
[14] A. Pyrgou, et al., “The future of the Feed-in Tariff (FiT) scheme in Europe: The case of photovoltaics,” Energy
Policy, vol. 95, pp. 94-102, 2016.
[15] B. Lu and M. Shahidehpour, “Short-Term Scheduling of Battery in a Grid-Connected PV/Battery System,” IEEE
Transactions on Power Systems, vol. 20, no. 2, pp. 1053-1061, 2005.
[16] N. Kaushika, et al., “Simulation model for sizing of stand-alone solar PV system with interconnected array,” Solar
Energy Materials and Solar Cells, vol. 85, no. 4, pp. 499-519, 2005.
[17] J. A. Halliday, et al., “Battery management for PV systems,” Power Engineer, vol. 17, no. 1, pp. 46-46, 2003.
[18] J. Appelbaum, et al., “Performance analysis of a solar-electrical system with a load and storage batteries,” Energy
Conversion, vol. 16, no. 3, pp. 105-110, 1977.
[19] A. Fragaki and T. Markvart, “System memory effects in the sizing of stand‐alone PV systems,” Progress in
Photovoltaics: Research and Applications, vol. 21, no. 4, pp. 724-735, 2013.
[20] M. Pedram, et al., “Hybrid electrical energy storage systems,” Proceedings of the 16Th ACM/IEEE International
Symposium on Low Power Electronics and Design-ISLPED '10, 2010, pp. 363-368.
[21] M. Stadler, et al., “Optimizing distributed energy resources and building retrofits with the strategic DER-
CAModel,” Applied Energy, vol. 132, pp. 557-567, 2014.
[22] Y. Wang, et al., “Optimal Control of a GridConnected Hybrid Electrical Energy Storage System for Homes,”
Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 881-886, 2013.
[23] IRENA, “Electricity storage and renewables: Costs and markets to 2030,” 2017. [Online]. Available:
http://www.irena.org/publications/2017/Oct/Electricity-storage-andrenewables-costs-and-markets.
[24] K. Zipp, “Solar batteries: Which is best for storage? Solar Power World,” 2017. [Online]. Available:
https://www.solarpowerworldonline.com/2015/08/what-is-thebest-type-of-battery-for-solar-storage/.
[25] P. Kurzweil and K. Brandt, “Secondary Batteries–Lithium Rechargeable Systems | Overview,” Encyclopedia of
Electrochemical Power Sources, pp. 1-26, 2009.
[26] P. Leung, et al., “Recent developments in organic redox flow batteries: A critical review,” Journal of Power
Sources, vol. 360, pp. 243-283, 2017.
[27] M. Froese, “Kokam to develop 36-MW energy storage system for KEPCO,” Wind Power Engineering &
Development, 2016.