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AUTHOR(S): Chiheb Ben Regaya , Mahbouba Brahmi, Hichem Hamdi, Abderrahmen Zaafouri
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TITLE MPPT Based on a Novel Multi-swarm PSO with Factor Selection Strategy for PV Applications |
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ABSTRACT This paper seeks to improve the efficiency of photovoltaic (PV) system using Multi-Swarm Particle Swarm Optimization algorithm with Factor selection strategy based Maximum Power Point Tracking (FMSPSO-MPPT). The FMSPSO-MPPT optimization algorithm has been used to saves the computation time and performs an excellent tracking capability with high accuracy, minimal oscillations around the Maximum Power Point MPP and high robustness. To demonstrate the superiority and robustness of the proposed FMSPSO- MPPT controller, the obtained results are analyzed and compared with others obtained from the Conventional Methods (P&O-MPPT) and Particle Swarm Optimization (PSO-MPPT). The obtained results show that the proposed FMSPSO MPPT controller gives the best performances under variables atmospheric conditions. |
KEYWORDS Photovoltaic systems, Maximum Power Point Tracking (MPPT), Particle Swarm Optimization, Factor selection |
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Cite this paper Chiheb Ben Regaya , Mahbouba Brahmi, Hichem Hamdi, Abderrahmen Zaafouri. (2022) MPPT Based on a Novel Multi-swarm PSO with Factor Selection Strategy for PV Applications. International Journal of Circuits and Electronics, 7, 41-46 |
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