Amal A. Hassan | Electronics Research Institute (original) (raw)
Papers by Amal A. Hassan
Scientific Reports
Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV... more Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV module degradation are typically based on time-consuming and labor-intensive accelerated or field experiments. Understanding the modes and methodologies of degradation is critical to certifying PV module lifetimes of 25 years. Both technological and environmental conditions affect the PV module degradation rate. This paper investigates the degradation of 24 mono-crystalline silicon PV modules mounted on the rooftop of Egypt's electronics research institute (ERI) after 25 years of outdoor operation. Degradation rates were determined using the module's performance ratio, temperature losses, and energy yield. Visual inspection, I–V characteristic measurement, and degradation rate have all been calculated as part of the PV evaluation process. The results demonstrate that the modules' maximum power ($${P}_{max}$$ P max ) has decreased in an average manner by 23.3% over time. The ...
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Scientific Reports, 2023
Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV... more Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV module degradation are typically based on time-consuming and labor-intensive accelerated or field experiments. Understanding the modes and methodologies of degradation is critical to certifying PV module lifetimes of 25 years. Both technological and environmental conditions affect the PV module degradation rate. This paper investigates the degradation of 24 mono-crystalline silicon PV modules mounted on the rooftop of Egypt's electronics research institute (ERI) after 25 years of outdoor operation. Degradation rates were determined using the module's performance ratio, temperature losses, and energy yield. Visual inspection, I-V characteristic measurement, and degradation rate have all been calculated as part of the PV evaluation process. The results demonstrate that the modules' maximum power (P max) has decreased in an average manner by 23.3% over time. The degradation rates of short-circuit current (I sc) and maximum current (I m) are 12.16% and 7.2%, respectively. The open-circuit voltage (V oc), maximum voltage (V m), and fill factor (FF) degradation rates are 2.28%, 12.16%, and 15.3%, respectively. The overall performance ratio obtained for the PV system is 85.9%. After a long time of operation in outdoor conditions, the single diode model's five parameters are used for parameter identification of each module to study the effect of aging on PV module performance.
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International Journal of Engineering Research in Africa, 2021
The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may l... more The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may lead to instability, especially, in case of high penetration. In this paper, a methodology is proposed to control the reactive power generation of PV-inverters. The objective is to mitigate the voltage fluctuations at the point of common coupling (PCC) resulted from increasing or decreasing the active power output of PV plants which is dependent on solar radiation level. The generic PV-inverter models developed and recommended by the Renewable Energy Modeling Task Force (REMTF) of the Western Electricity Coordinating Council (WECC) is used to analyze the effect of high PV penetration on the dynamic voltage stability of distribution networks. Then, the tested distribution network with the embedded PV plants is modeled and simulated using PSS/E software. Levels of control that are built-in PV-inverters are tested in the case of normal operation and during disturbances. Comparison results sh...
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International Journal of Mechanics, 2020
Fresh water supplies are among the most limiting conditions in arid regions. Drinking water short... more Fresh water supplies are among the most limiting conditions in arid regions. Drinking water shortage is chronic, acute and widespread in North Africa, the Middle East and South Asia. The extraction of fresh water from the atmosphere has been adopted and developed as a new technology to provide water in remote areas. This paper concentrates on the extracting of potable water from air in remote areas using solar energy. A theoretical study for extracting water from atmospheric air is presented and performance of water production system based on standalone PV system was simulated and evaluated for two sites in Egypt; namely, Hurghada and Khargha Oasis. The unit extracts water by using solar thermal energy as the heating source for air and solar photovoltaic energy for supplying water production system driven fan. Perturb and observe (P&O) method for maximum power point tracking (MPPT) has been designed and simulated for the proposed PV system. A Mathematical and simulation models using...
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International Journal of Electrical and Computer Engineering (IJECE), 2020
The rate of increase in energy consumption and high costs in addition to the depletion of existin... more The rate of increase in energy consumption and high costs in addition to the depletion of existing resources has a significant impact on our standard of living for next generations. In this case, the priority is to develop alternative cost-effective sources for powering the residential and non-residential buildings. This paper proposes and develops a design of a modified small two-story residential solar house for a medium-sized family located in Cairo, Egypt. This modified solar house meets almost all its energy demands including space heating by using solar air collector with a pebble storage unit in winter and a summer cooling system using wind catcher theory. Hot water is obtained throughout the day by using a steel sheltered water storage tank with a capacity of 1000 liter. Finally, the proposed heating system of the solar house is sized and modeled.
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Renewable Energy and Power Quality Journal, 2010
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International Transactions on Electrical Energy Systems, 2016
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International Journal of Sustainable Energy, 2015
The optimal design of renewable-based distributed generations (DGs) is a challenging issue in ord... more The optimal design of renewable-based distributed generations (DGs) is a challenging issue in order to maximise their benefits and to overcome power quality problems. Therefore, this paper proposes a methodology for optimal allocation and sizing of renewable DG units to minimise total power losses over radial distribution systems. The planning problem is formulated as a single objective nonlinear mixed integer-constrained optimisation problem and is solved by using the augmented Lagrangian genetic algorithm (ALGA) by combining the objective function and the nonlinear constraints. In that case, the ALGA solves a sequence of sub-problems where the objective function penalises the constraints violation in order to obtain the best solution. The proposed technique is applied to IEEE radial test systems including 33-bus, 69-bus and 119-bus and is implemented with different scenarios including all possible combinations and various types of renewable DG units to prove the effectiveness of the proposed methodology.
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Chemical, Biological and Environmental Engineering - Proceedings of the International Conference on CBEE 2009, 2009
Page 278. 261 OPTIMAL SIZING, ECONOMIC STUDY AND RELIABILITY OF DIFFERENT CONFIGURATIONS OF PHOTO... more Page 278. 261 OPTIMAL SIZING, ECONOMIC STUDY AND RELIABILITY OF DIFFERENT CONFIGURATIONS OF PHOTOVOLTAIC SYSTEMS AMAL A. HASSAN, FATEN H. FAHMY and ABD EL-SHAFY A. NAFEH Electronics ...
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INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, 2022
A doubly-fed induction generator (DFIG) is considered one of the most suitable generators for the... more A doubly-fed induction generator (DFIG) is considered one of the most suitable generators for the variable wind speed due to its different composition from the rest of the other generators. This paper presents optimal design, power management, and control of hybrid photovoltaic (PV) and battery energy storage systems (BESS) for grid-connected DFIG Based wind energy conversion systems (WECS). The proposed system integrates the BESS-PV hybrid system with the DFIG grid-connected system via the DC-link of the back-to-back converter. The main objective of the paper is to maintain a constant DC-link voltage (Vdc), keep the stator and rotor currents stable and smooth, and maintain constant and smooth active power during the variation in wind speed. The proposed optimized control methodology includes a moth-flame optimized fuzzy logic controller (MFO-FLC) to extract the maximum power of PV power under variable solar radiation. Moreover, a constantcurrent constant-voltage controller (CC-CV) for BESS is implemented using MFO-PI. MATLAB/ SIMULINK® platform was used to verify the design and control of the proposed system. The simulation results demonstrated the effectiveness of the optimized control methodology under variable solar radiation and wind speed conditions. The active power transferred to the grid through the grid side converter of the DC-link is smoothed and maximized by approximately 22% from its actual value during low wind speed and 1000 w/m 2 while preserving a constant DC-link voltage during transient and steady-state conditions.
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Journal of Electrical Systems, 2022
This paper provides a smart photovoltaic (PV) inverter control strategy. The proposed controllers... more This paper provides a smart photovoltaic (PV) inverter control strategy. The proposed controllers are the PV-side controller to track the maximum power output of the PV array and the grid-side controller to control the active and reactive power delivered to the electric grid through the inverter. A Volt-VAR regulator is proposed for controlling the reactive power exchange with the grid according to the voltage at the point of common coupling (PCC). The gains of the proposed proportional-integral (PI) controllers are optimized using a genetic algorithm (GA) via adaptive online tuning. The control methodology is then tested to a 33-bus radial distribution network under MATLAB/SimPowerSystem environment to prove the validity of the proposed control methodology and to analyze the interactions between the PV-based distributed generation (DG) and the power network. The optimal control of PV inverters demonstrated that the optimized Volt-VAR control strategy is both efficient and effective. The optimization of the PI controller parameters resulted in a good dynamic response under varying climatic conditions. The proposed control method enables the most efficient utilization of PV-DG systems by extracting maximum power and contributing to grid voltage support.
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2nd International conference on Advanced Control Circuits and Systems (ACCS’08), 2008
This paper presents a study and design of a complete grid connected photovoltaic (PV) system for ... more This paper presents a study and design of a complete grid connected photovoltaic (PV) system for providing the electrical loads in an emergency health clinic according to their energy requirements. Homer software model is developed to determine the size and specifications of photovoltaic system components, system cost and estimation of electrical energy produced by the sized PV system. It was concluded that the sizing results for grid-connected PV system depends on the desired location condition, load data, the prices of power sold to or bought from the grid and the investment cost of the system. Grid-connected PV systems may be become economically viable and competitive with other types of conventional energy sources considering the decreasing prices of PV systems and their increasing efficiencies and reliability. PV systems also have the advantage of maintaining a clean environment.
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INTERNATIONAL JOURNAL OF MECHANICS, 2020
Fresh water supplies are among the most limiting conditions in arid regions. Drinking water short... more Fresh water supplies are among the most limiting conditions in arid regions. Drinking water shortage is chronic, acute and widespread in North Africa, the Middle East and South Asia. The extraction of fresh water from the atmosphere has been adopted and developed as a new technology to provide water in remote areas. This paper concentrates on the extracting of potable water from air in remote areas using solar energy. A theoretical study for extracting water from atmospheric air is presented and performance of water production system based on standalone PV system was simulated and evaluated for two sites in Egypt; namely, Hurghada and Khargha Oasis. The unit extracts water by using solar thermal energy as the heating source for air and solar photovoltaic energy for supplying water production system driven fan. Perturb and observe (P&O) method for maximum power point tracking (MPPT) has been designed and simulated for the proposed PV system. A Mathematical and simulation models using MATLAB/ SIMULINK software have been developed for evaluating the performance of the proposed system. The effect of climate conditions; ambient temperature and solar radiation on the PV system output power based on P&O controller was also demonstrated. It was found that more amount of water from atmosphere can be extracted from densely humid and highly solar radiation regions.
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International Journal of Energy
This paper study the optimization & finical test of a hybrid power system holds Photovoltaic (PV)... more This paper study the optimization & finical test of a hybrid power system holds Photovoltaic (PV) array, Diesel generator and Battery for a small cement bricks factory located in Bahtem, Egypt covering a load demand of 24.5kWh/day with a 4.92 kW peak. In this factory, light weight binder bricks are manufactured from the recycling of chopped grind straw which can be utilized as fillers in bone type buildings. HOMER software is utilized to run the frugal feasibility of hybrid PV-Diesel-Battery system. The study proved that the impact of PV penetration and battery storage on power production, expense of power, number of operational hours of diesel generators for a given hybrid configuration. PV panels and diesel generator produce 10,654 and 2,701 kWh/year, respectively and 2,783 kWh/year of power is stocked in the batteries. The renewable power part was 70%. The system was optimally sized with a PV of 7 kW, a diesel generator of 5.5 kW, a converter of 4.9 kW and 8 units of battery The ...
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Arabian Journal for Science and Engineering , 2021
Wind energy is one of the world’s leading promising renewable energy sources, due to that there i... more Wind energy is one of the world’s leading promising renewable energy sources, due to that there is a prediction that wind generation systems will provide maximum power supply and have good integration with the electric grid. To fulfill the increasing power demand, wind power generation systems need more advanced, novel, and robust control approaches to achieve a more stable operation of the controller and to improve the overall efficiency of the system. This paper presents an optimal design and tuning of fuzzy logic controllers (FLC) for a 1.5-MW doubly fed induction generator (DFIG), grid-connected, wind energy conversion system (WECS) using intelligent methodologies such as particle swarm optimizer (PSO), the gray wolf optimization (GWO), moth-flame optimizer (MFO), and multi-verse optimizer (MVO). FLC scaling factors are optimized for both dc-link voltage controller and current regulators of the grid-side converter and rotor-side converter of the back to back of DFIG wind turbine. A multi-objective optimization methodology is proposed which aims to minimize the steady-state errors of these controllers to improve the dynamic operation of the DFIG wind energy system subjected to variable wind speed conditions. Finally, a comparison is carried out between the different optimization techniques for FLC using PSO, GWO, MFO, and MVO, also between the proposed optimized controller and PI controller. The main contribution of this study is that it proposes a new control methodology for a DFIG-based WECS. This strategy is to optimize multi-input multi-output MIMO-FLC scaling factors by applying PSO, GWO, MFO, and MVO algorithms to control the d-q component of rotor and stator currents to control the active and reactive power of the DFIG. The operation of the proposed controller is tested under variable wind speed to investigate the DFIG behavior in case of transition from low to high gust and it is found by comparing the different techniques that the best-optimized controller is MFO-FLC which gives a very good behavior under variable wind speed conditions.
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International Journal of Engineering Research in Africa, 2021
The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may l... more The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may lead to instability, especially, in case of high penetration. In this paper, a methodology is proposed to control the reactive power generation of PV-inverters. The objective is to mitigate the voltage fluctuations at the point of common coupling (PCC) resulted from increasing or decreasing the active power output of PV plants which is dependent on solar radiation level. The generic PV-inverter models developed and recommended by the Renewable Energy Modeling Task Force (REMTF) of the Western Electricity Coordinating Council (WECC) is used to analyze the effect of high PV penetration on the dynamic voltage stability of distribution networks. Then, the tested distribution network with the embedded PV plants is modeled and simulated using PSS/E software. Levels of control that are built-in PV-inverters are tested in the case of normal operation and during disturbances. Comparison results show that the most suitable control methodology in case of disturbances and after fault clearance is the local voltage control. While the plant voltage control with coordinated V/Q control is the most preferable control methodology during normal operation.
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International Journal of Electrical and Computer Engineering (IJECE), 2021
Research on the integration of renewable distributed generators (RDGs) in radial distribution sys... more Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called 'coyote optimization algorithm (COA)' to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.
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International Journal of Advanced Science and Technology, 2020
Optimal location and sizing of renewable distributed generators (RDGs) in radial distribution sys... more Optimal location and sizing of renewable distributed generators (RDGs) in radial distribution systems (RDS) is the most preferable strategies for increasing the generation of the power systems, enhancing performance of DS and covering increasing in load demand. In This paper application of new Optimization algorithm (Coyote Optimization Algorithm (COA)) is presented to obtain optimal placement and sizing of RDGs at different power factors to enhance performance of DS by reducing power losses and enhancing voltage profile for all buses of the network. Minimizing of active power losses is the main objective of this work which can be improve system performance; reliability, and efficiency. Simulations using MATLAB tools are implemented on the IEEE RDS including (33and 69) bus to evaluate the possibilities of the proposed algorithm. The COA results are compared with other meta-heuristic algorithms that show the feasibility of the strategy proposed to obtain optimum location and sizing of RDG in RDS.
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International Journal of Electrical and Computer Engineering, 2020
The rate of increase in energy consumption and high costs in addition to the depletion of existin... more The rate of increase in energy consumption and high costs in addition to the depletion of existing resources has a significant impact on our standard of living for next generations. In this case, the priority is to develop alternative cost-effective sources for powering the residential and non-residential buildings. This paper proposes and develops a design of a modified small two-story residential solar house for a medium-sized family located in Cairo, Egypt. This modified solar house meets almost all its energy demands including space heating by using solar air collector with a pebble storage unit in winter and a summer cooling system using wind catcher theory. Hot water is obtained throughout the day by using a steel sheltered water storage tank with a capacity of 1000 liter. Finally, the proposed heating system of the solar house is sized and modeled.
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This paper proposes a solution methodology for optimal allocation and sizing of renewable based D... more This paper proposes a solution methodology for optimal allocation and sizing of renewable based DG units in radial distribution systems. The objectives are to minimize total power losses, to minimize system's investment cost and to improve voltage stability. The multi-objective genetic optimization algorithm is used to generate the optimal Pareto front and a fuzzy decision making function is used, as a hybrid function, to obtain the best compromise solution. The proposed technique is applied to typical IEEE bus systems including 33-bus system, 69-bus system and 119-bus system. This technique is implemented using different scenarios including all possible combinations of renewable DG units; to prove the effectiveness of the proposed methodology. The effect of DG based renewable energy allocation on the most sensitive buses to collapse is also carried out considering different load models. Copyright © 2016 John Wiley & Sons, Ltd.
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Scientific Reports
Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV... more Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV module degradation are typically based on time-consuming and labor-intensive accelerated or field experiments. Understanding the modes and methodologies of degradation is critical to certifying PV module lifetimes of 25 years. Both technological and environmental conditions affect the PV module degradation rate. This paper investigates the degradation of 24 mono-crystalline silicon PV modules mounted on the rooftop of Egypt's electronics research institute (ERI) after 25 years of outdoor operation. Degradation rates were determined using the module's performance ratio, temperature losses, and energy yield. Visual inspection, I–V characteristic measurement, and degradation rate have all been calculated as part of the PV evaluation process. The results demonstrate that the modules' maximum power ($${P}_{max}$$ P max ) has decreased in an average manner by 23.3% over time. The ...
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Scientific Reports, 2023
Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV... more Degradation reduces the capability of solar photovoltaic (PV) production over time. Studies on PV module degradation are typically based on time-consuming and labor-intensive accelerated or field experiments. Understanding the modes and methodologies of degradation is critical to certifying PV module lifetimes of 25 years. Both technological and environmental conditions affect the PV module degradation rate. This paper investigates the degradation of 24 mono-crystalline silicon PV modules mounted on the rooftop of Egypt's electronics research institute (ERI) after 25 years of outdoor operation. Degradation rates were determined using the module's performance ratio, temperature losses, and energy yield. Visual inspection, I-V characteristic measurement, and degradation rate have all been calculated as part of the PV evaluation process. The results demonstrate that the modules' maximum power (P max) has decreased in an average manner by 23.3% over time. The degradation rates of short-circuit current (I sc) and maximum current (I m) are 12.16% and 7.2%, respectively. The open-circuit voltage (V oc), maximum voltage (V m), and fill factor (FF) degradation rates are 2.28%, 12.16%, and 15.3%, respectively. The overall performance ratio obtained for the PV system is 85.9%. After a long time of operation in outdoor conditions, the single diode model's five parameters are used for parameter identification of each module to study the effect of aging on PV module performance.
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International Journal of Engineering Research in Africa, 2021
The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may l... more The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may lead to instability, especially, in case of high penetration. In this paper, a methodology is proposed to control the reactive power generation of PV-inverters. The objective is to mitigate the voltage fluctuations at the point of common coupling (PCC) resulted from increasing or decreasing the active power output of PV plants which is dependent on solar radiation level. The generic PV-inverter models developed and recommended by the Renewable Energy Modeling Task Force (REMTF) of the Western Electricity Coordinating Council (WECC) is used to analyze the effect of high PV penetration on the dynamic voltage stability of distribution networks. Then, the tested distribution network with the embedded PV plants is modeled and simulated using PSS/E software. Levels of control that are built-in PV-inverters are tested in the case of normal operation and during disturbances. Comparison results sh...
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International Journal of Mechanics, 2020
Fresh water supplies are among the most limiting conditions in arid regions. Drinking water short... more Fresh water supplies are among the most limiting conditions in arid regions. Drinking water shortage is chronic, acute and widespread in North Africa, the Middle East and South Asia. The extraction of fresh water from the atmosphere has been adopted and developed as a new technology to provide water in remote areas. This paper concentrates on the extracting of potable water from air in remote areas using solar energy. A theoretical study for extracting water from atmospheric air is presented and performance of water production system based on standalone PV system was simulated and evaluated for two sites in Egypt; namely, Hurghada and Khargha Oasis. The unit extracts water by using solar thermal energy as the heating source for air and solar photovoltaic energy for supplying water production system driven fan. Perturb and observe (P&O) method for maximum power point tracking (MPPT) has been designed and simulated for the proposed PV system. A Mathematical and simulation models using...
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International Journal of Electrical and Computer Engineering (IJECE), 2020
The rate of increase in energy consumption and high costs in addition to the depletion of existin... more The rate of increase in energy consumption and high costs in addition to the depletion of existing resources has a significant impact on our standard of living for next generations. In this case, the priority is to develop alternative cost-effective sources for powering the residential and non-residential buildings. This paper proposes and develops a design of a modified small two-story residential solar house for a medium-sized family located in Cairo, Egypt. This modified solar house meets almost all its energy demands including space heating by using solar air collector with a pebble storage unit in winter and a summer cooling system using wind catcher theory. Hot water is obtained throughout the day by using a steel sheltered water storage tank with a capacity of 1000 liter. Finally, the proposed heating system of the solar house is sized and modeled.
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Renewable Energy and Power Quality Journal, 2010
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International Transactions on Electrical Energy Systems, 2016
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International Journal of Sustainable Energy, 2015
The optimal design of renewable-based distributed generations (DGs) is a challenging issue in ord... more The optimal design of renewable-based distributed generations (DGs) is a challenging issue in order to maximise their benefits and to overcome power quality problems. Therefore, this paper proposes a methodology for optimal allocation and sizing of renewable DG units to minimise total power losses over radial distribution systems. The planning problem is formulated as a single objective nonlinear mixed integer-constrained optimisation problem and is solved by using the augmented Lagrangian genetic algorithm (ALGA) by combining the objective function and the nonlinear constraints. In that case, the ALGA solves a sequence of sub-problems where the objective function penalises the constraints violation in order to obtain the best solution. The proposed technique is applied to IEEE radial test systems including 33-bus, 69-bus and 119-bus and is implemented with different scenarios including all possible combinations and various types of renewable DG units to prove the effectiveness of the proposed methodology.
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Chemical, Biological and Environmental Engineering - Proceedings of the International Conference on CBEE 2009, 2009
Page 278. 261 OPTIMAL SIZING, ECONOMIC STUDY AND RELIABILITY OF DIFFERENT CONFIGURATIONS OF PHOTO... more Page 278. 261 OPTIMAL SIZING, ECONOMIC STUDY AND RELIABILITY OF DIFFERENT CONFIGURATIONS OF PHOTOVOLTAIC SYSTEMS AMAL A. HASSAN, FATEN H. FAHMY and ABD EL-SHAFY A. NAFEH Electronics ...
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INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, 2022
A doubly-fed induction generator (DFIG) is considered one of the most suitable generators for the... more A doubly-fed induction generator (DFIG) is considered one of the most suitable generators for the variable wind speed due to its different composition from the rest of the other generators. This paper presents optimal design, power management, and control of hybrid photovoltaic (PV) and battery energy storage systems (BESS) for grid-connected DFIG Based wind energy conversion systems (WECS). The proposed system integrates the BESS-PV hybrid system with the DFIG grid-connected system via the DC-link of the back-to-back converter. The main objective of the paper is to maintain a constant DC-link voltage (Vdc), keep the stator and rotor currents stable and smooth, and maintain constant and smooth active power during the variation in wind speed. The proposed optimized control methodology includes a moth-flame optimized fuzzy logic controller (MFO-FLC) to extract the maximum power of PV power under variable solar radiation. Moreover, a constantcurrent constant-voltage controller (CC-CV) for BESS is implemented using MFO-PI. MATLAB/ SIMULINK® platform was used to verify the design and control of the proposed system. The simulation results demonstrated the effectiveness of the optimized control methodology under variable solar radiation and wind speed conditions. The active power transferred to the grid through the grid side converter of the DC-link is smoothed and maximized by approximately 22% from its actual value during low wind speed and 1000 w/m 2 while preserving a constant DC-link voltage during transient and steady-state conditions.
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Journal of Electrical Systems, 2022
This paper provides a smart photovoltaic (PV) inverter control strategy. The proposed controllers... more This paper provides a smart photovoltaic (PV) inverter control strategy. The proposed controllers are the PV-side controller to track the maximum power output of the PV array and the grid-side controller to control the active and reactive power delivered to the electric grid through the inverter. A Volt-VAR regulator is proposed for controlling the reactive power exchange with the grid according to the voltage at the point of common coupling (PCC). The gains of the proposed proportional-integral (PI) controllers are optimized using a genetic algorithm (GA) via adaptive online tuning. The control methodology is then tested to a 33-bus radial distribution network under MATLAB/SimPowerSystem environment to prove the validity of the proposed control methodology and to analyze the interactions between the PV-based distributed generation (DG) and the power network. The optimal control of PV inverters demonstrated that the optimized Volt-VAR control strategy is both efficient and effective. The optimization of the PI controller parameters resulted in a good dynamic response under varying climatic conditions. The proposed control method enables the most efficient utilization of PV-DG systems by extracting maximum power and contributing to grid voltage support.
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2nd International conference on Advanced Control Circuits and Systems (ACCS’08), 2008
This paper presents a study and design of a complete grid connected photovoltaic (PV) system for ... more This paper presents a study and design of a complete grid connected photovoltaic (PV) system for providing the electrical loads in an emergency health clinic according to their energy requirements. Homer software model is developed to determine the size and specifications of photovoltaic system components, system cost and estimation of electrical energy produced by the sized PV system. It was concluded that the sizing results for grid-connected PV system depends on the desired location condition, load data, the prices of power sold to or bought from the grid and the investment cost of the system. Grid-connected PV systems may be become economically viable and competitive with other types of conventional energy sources considering the decreasing prices of PV systems and their increasing efficiencies and reliability. PV systems also have the advantage of maintaining a clean environment.
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INTERNATIONAL JOURNAL OF MECHANICS, 2020
Fresh water supplies are among the most limiting conditions in arid regions. Drinking water short... more Fresh water supplies are among the most limiting conditions in arid regions. Drinking water shortage is chronic, acute and widespread in North Africa, the Middle East and South Asia. The extraction of fresh water from the atmosphere has been adopted and developed as a new technology to provide water in remote areas. This paper concentrates on the extracting of potable water from air in remote areas using solar energy. A theoretical study for extracting water from atmospheric air is presented and performance of water production system based on standalone PV system was simulated and evaluated for two sites in Egypt; namely, Hurghada and Khargha Oasis. The unit extracts water by using solar thermal energy as the heating source for air and solar photovoltaic energy for supplying water production system driven fan. Perturb and observe (P&O) method for maximum power point tracking (MPPT) has been designed and simulated for the proposed PV system. A Mathematical and simulation models using MATLAB/ SIMULINK software have been developed for evaluating the performance of the proposed system. The effect of climate conditions; ambient temperature and solar radiation on the PV system output power based on P&O controller was also demonstrated. It was found that more amount of water from atmosphere can be extracted from densely humid and highly solar radiation regions.
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International Journal of Energy
This paper study the optimization & finical test of a hybrid power system holds Photovoltaic (PV)... more This paper study the optimization & finical test of a hybrid power system holds Photovoltaic (PV) array, Diesel generator and Battery for a small cement bricks factory located in Bahtem, Egypt covering a load demand of 24.5kWh/day with a 4.92 kW peak. In this factory, light weight binder bricks are manufactured from the recycling of chopped grind straw which can be utilized as fillers in bone type buildings. HOMER software is utilized to run the frugal feasibility of hybrid PV-Diesel-Battery system. The study proved that the impact of PV penetration and battery storage on power production, expense of power, number of operational hours of diesel generators for a given hybrid configuration. PV panels and diesel generator produce 10,654 and 2,701 kWh/year, respectively and 2,783 kWh/year of power is stocked in the batteries. The renewable power part was 70%. The system was optimally sized with a PV of 7 kW, a diesel generator of 5.5 kW, a converter of 4.9 kW and 8 units of battery The ...
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Arabian Journal for Science and Engineering , 2021
Wind energy is one of the world’s leading promising renewable energy sources, due to that there i... more Wind energy is one of the world’s leading promising renewable energy sources, due to that there is a prediction that wind generation systems will provide maximum power supply and have good integration with the electric grid. To fulfill the increasing power demand, wind power generation systems need more advanced, novel, and robust control approaches to achieve a more stable operation of the controller and to improve the overall efficiency of the system. This paper presents an optimal design and tuning of fuzzy logic controllers (FLC) for a 1.5-MW doubly fed induction generator (DFIG), grid-connected, wind energy conversion system (WECS) using intelligent methodologies such as particle swarm optimizer (PSO), the gray wolf optimization (GWO), moth-flame optimizer (MFO), and multi-verse optimizer (MVO). FLC scaling factors are optimized for both dc-link voltage controller and current regulators of the grid-side converter and rotor-side converter of the back to back of DFIG wind turbine. A multi-objective optimization methodology is proposed which aims to minimize the steady-state errors of these controllers to improve the dynamic operation of the DFIG wind energy system subjected to variable wind speed conditions. Finally, a comparison is carried out between the different optimization techniques for FLC using PSO, GWO, MFO, and MVO, also between the proposed optimized controller and PI controller. The main contribution of this study is that it proposes a new control methodology for a DFIG-based WECS. This strategy is to optimize multi-input multi-output MIMO-FLC scaling factors by applying PSO, GWO, MFO, and MVO algorithms to control the d-q component of rotor and stator currents to control the active and reactive power of the DFIG. The operation of the proposed controller is tested under variable wind speed to investigate the DFIG behavior in case of transition from low to high gust and it is found by comparing the different techniques that the best-optimized controller is MFO-FLC which gives a very good behavior under variable wind speed conditions.
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International Journal of Engineering Research in Africa, 2021
The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may l... more The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may lead to instability, especially, in case of high penetration. In this paper, a methodology is proposed to control the reactive power generation of PV-inverters. The objective is to mitigate the voltage fluctuations at the point of common coupling (PCC) resulted from increasing or decreasing the active power output of PV plants which is dependent on solar radiation level. The generic PV-inverter models developed and recommended by the Renewable Energy Modeling Task Force (REMTF) of the Western Electricity Coordinating Council (WECC) is used to analyze the effect of high PV penetration on the dynamic voltage stability of distribution networks. Then, the tested distribution network with the embedded PV plants is modeled and simulated using PSS/E software. Levels of control that are built-in PV-inverters are tested in the case of normal operation and during disturbances. Comparison results show that the most suitable control methodology in case of disturbances and after fault clearance is the local voltage control. While the plant voltage control with coordinated V/Q control is the most preferable control methodology during normal operation.
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International Journal of Electrical and Computer Engineering (IJECE), 2021
Research on the integration of renewable distributed generators (RDGs) in radial distribution sys... more Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called 'coyote optimization algorithm (COA)' to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.
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International Journal of Advanced Science and Technology, 2020
Optimal location and sizing of renewable distributed generators (RDGs) in radial distribution sys... more Optimal location and sizing of renewable distributed generators (RDGs) in radial distribution systems (RDS) is the most preferable strategies for increasing the generation of the power systems, enhancing performance of DS and covering increasing in load demand. In This paper application of new Optimization algorithm (Coyote Optimization Algorithm (COA)) is presented to obtain optimal placement and sizing of RDGs at different power factors to enhance performance of DS by reducing power losses and enhancing voltage profile for all buses of the network. Minimizing of active power losses is the main objective of this work which can be improve system performance; reliability, and efficiency. Simulations using MATLAB tools are implemented on the IEEE RDS including (33and 69) bus to evaluate the possibilities of the proposed algorithm. The COA results are compared with other meta-heuristic algorithms that show the feasibility of the strategy proposed to obtain optimum location and sizing of RDG in RDS.
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International Journal of Electrical and Computer Engineering, 2020
The rate of increase in energy consumption and high costs in addition to the depletion of existin... more The rate of increase in energy consumption and high costs in addition to the depletion of existing resources has a significant impact on our standard of living for next generations. In this case, the priority is to develop alternative cost-effective sources for powering the residential and non-residential buildings. This paper proposes and develops a design of a modified small two-story residential solar house for a medium-sized family located in Cairo, Egypt. This modified solar house meets almost all its energy demands including space heating by using solar air collector with a pebble storage unit in winter and a summer cooling system using wind catcher theory. Hot water is obtained throughout the day by using a steel sheltered water storage tank with a capacity of 1000 liter. Finally, the proposed heating system of the solar house is sized and modeled.
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This paper proposes a solution methodology for optimal allocation and sizing of renewable based D... more This paper proposes a solution methodology for optimal allocation and sizing of renewable based DG units in radial distribution systems. The objectives are to minimize total power losses, to minimize system's investment cost and to improve voltage stability. The multi-objective genetic optimization algorithm is used to generate the optimal Pareto front and a fuzzy decision making function is used, as a hybrid function, to obtain the best compromise solution. The proposed technique is applied to typical IEEE bus systems including 33-bus system, 69-bus system and 119-bus system. This technique is implemented using different scenarios including all possible combinations of renewable DG units; to prove the effectiveness of the proposed methodology. The effect of DG based renewable energy allocation on the most sensitive buses to collapse is also carried out considering different load models. Copyright © 2016 John Wiley & Sons, Ltd.
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