Photovoltaic conversion is an optimal solution for the electrification of rural areas, especially... more Photovoltaic conversion is an optimal solution for the electrification of rural areas, especially deserts for the abundance of solar energy in these regions. In recent years, many studies have been carried out to maximize the energy productivity of a PV array system and increase its efficiency. However, the arid and semi-arid region is characterized by a climate whose parameters significantly influence the operation of PV installations. This paper presents an overview investigation of the major internal and external factors significantly affecting both the efficiency and the performance of solar cells and the power of PV systems. These factors include the type of PV material, solar radiation intensity received, cell temperature, parasitic resistances, cloud, and other shading effects, inverter efficiency, dust, module orientation, weather conditions, geographical location, and cable thickness. Simulation of a PV system has been carried out in MATLAB-SIMULINK to prove the effectivene...
2019 7th International Renewable and Sustainable Energy Conference (IRSEC), 2019
This paper deals the performance comparison and efficiencies of single-axis and dual-axis trackin... more This paper deals the performance comparison and efficiencies of single-axis and dual-axis tracking PV system to an identical fixed-mount PV system for two typical clear sunny days (Ghardaia area), two typical days are chosen, the first day in winter and the second day in the summer. For the three types of PV systems, P&O-PI MPPT techniques optimized with a genetic algorithm is proposed. This paper has two different objectives. 1stly, a proposed MPPT technique has been presented to optimize P&O-PI controller via the GA technique to increase the tracking response of MPP with high efficiency and that improves the limitations of the traditional MPPT techniques. 2ndly, a performance comparison of efficiencies of single-axis and dual-axis tracking system and an identical fixed inclination system. Simulation results with MATLAB/SIMULINK are presented and discussed to verify the satisfactory performance of the proposed MPPT control, in which the optimized P&O-PI controller by GA algorithms gives the better performance. The simulation results also have shown that both single-axis and dual-axis are highly efficient in terms of the electrical energy output when compared to the fixed mount system. The results show the effectiveness of the tracking system of about 25% in energy efficiency.
2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), 2019
in this paper both dual-axis solar tracking and ANFIS MPPT to enhance the performance of grid-con... more in this paper both dual-axis solar tracking and ANFIS MPPT to enhance the performance of grid-connected PV power plant. The two-axis solar tracking approach is used to track the sun and allow the solar panel to be placed perpendicular to the solar irradiation. The ANFIS MPPT approach is employed to keep the PV array operating at the maximum power point, an ANFIS MPPT algorithm has been proposed in this paper to find the requirements of response speed and dynamic stability. Simulations have been made through Matlab/Simulink. The results show that both the ANFIS MPPT algorithms and dual solar tracking and could enhance the efficiency and PV array output power.
Algerian Journal of Renewable Energy and Sustainable Development, 2021
This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditio... more This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions.
This paper presents modeling, simulation, and analysis evaluation of the grid-connected PV genera... more This paper presents modeling, simulation, and analysis evaluation of the grid-connected PV generation system performance under MATLAB/Simulink. The objective is to study the effect of seasonal variation on the performances of grid connected photovoltaic system in southern of Algeria. This system works with a power converter. This converter allows the connection to the network and extracts maximum power from photovoltaic panels with the MPPT algorithm based on robust neuro-fuzzy sliding approach. The photovoltaic energy produced by the PV generator will be completely injected on the network. Simulation results show that the system controlled by the neuro-fuzzy sliding adapts to changing external disturbances and show their effectiveness not only for continued maximum power point but also for response time and stability.
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015
This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost ... more This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost converter with Robust Tracking Fuzzy sliding mode MPPT control strategy, and inverter coupled to grid. The MPPT control was performed using a hybrid control between the sliding mode control known for its simplicity and its position vis-à-vis robustness interference and control by fuzzy logic known by its fast response time and ease of implementation, in order to develop a MPPT controller that combines the performance of both commands. The proposed system with Fuzzy sliding mode MPPR control is tested using MATLAB/SIMULINK platform in which maximum power energy is tracked under constant and varying solar irradiance in to grid with a unity power factor. It can be concluded that the proposed method can quickly track the maximum power point of photovoltaic arrays, and also decrease the maximum power point oscillation energy loss. Therefore, the energy transmission efficiency of PV system power generation system is enhanced.
Photovoltaic conversion is an optimal solution for the electrification of rural areas, especially... more Photovoltaic conversion is an optimal solution for the electrification of rural areas, especially deserts for the abundance of solar energy in these regions. In recent years, many studies have been carried out to maximize the energy productivity of a PV array system and increase its efficiency. However, the arid and semi-arid region is characterized by a climate whose parameters significantly influence the operation of PV installations. This paper presents an overview investigation of the major internal and external factors significantly affecting both the efficiency and the performance of solar cells and the power of PV systems. These factors include the type of PV material, solar radiation intensity received, cell temperature, parasitic resistances, cloud, and other shading effects, inverter efficiency, dust, module orientation, weather conditions, geographical location, and cable thickness. Simulation of a PV system has been carried out in MATLAB-SIMULINK to prove the effectivene...
2019 7th International Renewable and Sustainable Energy Conference (IRSEC), 2019
This paper deals the performance comparison and efficiencies of single-axis and dual-axis trackin... more This paper deals the performance comparison and efficiencies of single-axis and dual-axis tracking PV system to an identical fixed-mount PV system for two typical clear sunny days (Ghardaia area), two typical days are chosen, the first day in winter and the second day in the summer. For the three types of PV systems, P&O-PI MPPT techniques optimized with a genetic algorithm is proposed. This paper has two different objectives. 1stly, a proposed MPPT technique has been presented to optimize P&O-PI controller via the GA technique to increase the tracking response of MPP with high efficiency and that improves the limitations of the traditional MPPT techniques. 2ndly, a performance comparison of efficiencies of single-axis and dual-axis tracking system and an identical fixed inclination system. Simulation results with MATLAB/SIMULINK are presented and discussed to verify the satisfactory performance of the proposed MPPT control, in which the optimized P&O-PI controller by GA algorithms gives the better performance. The simulation results also have shown that both single-axis and dual-axis are highly efficient in terms of the electrical energy output when compared to the fixed mount system. The results show the effectiveness of the tracking system of about 25% in energy efficiency.
2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), 2019
in this paper both dual-axis solar tracking and ANFIS MPPT to enhance the performance of grid-con... more in this paper both dual-axis solar tracking and ANFIS MPPT to enhance the performance of grid-connected PV power plant. The two-axis solar tracking approach is used to track the sun and allow the solar panel to be placed perpendicular to the solar irradiation. The ANFIS MPPT approach is employed to keep the PV array operating at the maximum power point, an ANFIS MPPT algorithm has been proposed in this paper to find the requirements of response speed and dynamic stability. Simulations have been made through Matlab/Simulink. The results show that both the ANFIS MPPT algorithms and dual solar tracking and could enhance the efficiency and PV array output power.
Algerian Journal of Renewable Energy and Sustainable Development, 2021
This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditio... more This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions.
This paper presents modeling, simulation, and analysis evaluation of the grid-connected PV genera... more This paper presents modeling, simulation, and analysis evaluation of the grid-connected PV generation system performance under MATLAB/Simulink. The objective is to study the effect of seasonal variation on the performances of grid connected photovoltaic system in southern of Algeria. This system works with a power converter. This converter allows the connection to the network and extracts maximum power from photovoltaic panels with the MPPT algorithm based on robust neuro-fuzzy sliding approach. The photovoltaic energy produced by the PV generator will be completely injected on the network. Simulation results show that the system controlled by the neuro-fuzzy sliding adapts to changing external disturbances and show their effectiveness not only for continued maximum power point but also for response time and stability.
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015
This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost ... more This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost converter with Robust Tracking Fuzzy sliding mode MPPT control strategy, and inverter coupled to grid. The MPPT control was performed using a hybrid control between the sliding mode control known for its simplicity and its position vis-à-vis robustness interference and control by fuzzy logic known by its fast response time and ease of implementation, in order to develop a MPPT controller that combines the performance of both commands. The proposed system with Fuzzy sliding mode MPPR control is tested using MATLAB/SIMULINK platform in which maximum power energy is tracked under constant and varying solar irradiance in to grid with a unity power factor. It can be concluded that the proposed method can quickly track the maximum power point of photovoltaic arrays, and also decrease the maximum power point oscillation energy loss. Therefore, the energy transmission efficiency of PV system power generation system is enhanced.
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Papers by Messaouda Khennane