PSO, MFFNN and FPWM Algorithms For Grid-Connected PV System

Marwa Banawaz, Mohamed Ali Zeddini, Mohamed Faouzi Mimouni

Abstract


This paper summarizes a whole work on grid-connected photovoltaic system based on shunt power active filter with a view to simultaneously compensate harmonic currents and reactive power, thus improving the quality of the energy supplied to consumer. The proposed MPPT is Particle Swarm Optimization (PSO) method and the shunt power active filter is built by Multilayer Feed-Forward Neural Network (MFFNN) and Fuzzy Pulse Width Modulation (FPWM) is introduced. The simulation of the system under Simulink environment on Matlab software proves the robustness of the control used, which guarantees the elimination of harmonic currents and reactive power in addition to the injection of the maximum solar power to the power grid.


Keywords


Particle Swarm Optimization; MPPT; Multilayer Feed-Forward Neural Network; Fuzzy Logic Pulse Width Modulation; Shunt Active Power filter

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v11i1.11542.g8118

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