Abstract
The rapid expansion of electric vehicle (EV) charging stations leads to significant power quality issues and an increased demand for real power. Photovoltaic (PV) generators combined with active power filters (APF) can provide a solution to these problems and support the electricity grid to meet the needs of electrical loads. In this paper, a shunt APF powered by photovoltaic panels is designed to solve both the problems of the produced electrical energy quality and the preservation of the environment, while supplying charging stations for electric vehicles. The control objectives are: to make up for the harmonics and the reactive currents absorbed by the charging stations; to cancel the neutral current; and to regulate the voltage across the PV generator to extract the maximum power. To meet this purpose, a non linear controller based on the system model is developed, using a sliding-mode technique. Furthermore, a feedforward Artificial Neural Network (ANN) technique is designed to reach the PV optimum voltage to extract the maximum power. It combines the Particle Swarm Optimisation (PSO) algorithm to compute the optimum ANN’s initial weights for improving the accuracy search of this maximum. This theoretical result is confirmed by simulations involving wide range variations of solar irradiation. The simulation results show that with the SAPF, the grid current harmonic distortion is about 0.35% while the neutral current is practically zero. However, in the absence of this filter, the THD increases to 37.85% and the neutral current takes on an amplitude of 50 A.
Published Version
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