Optimal Sizing of a PV-Battery Stand-Alone Fast Charging Station for Electric Vehicles Using SO

Abd El-Fattah A. Omran, Abd El-Shafy A Nafeh, Hosam K. M. Yousef

Abstract


This paper proposes a methodology for the optimal sizing of a complete green photovoltaic (PV)-battery stand-alone fast charging station for electric vehicles (FCSEVs) in Cairo, Egypt. The formulated optimization problem aims to minimize the total system cost and ensure the high reliability of the proposed system; by obtaining the optimal numbers of the utilized PV modules (NPV) and battery storage units (NB). At the same time, it aims to maximize the overall system profit; by selling the energy to electric vehicles (EVs). Also, a comparison among the proposed MATLAB-based snake optimization algorithm, which is simply called snake optimizer (SO), and some other meta-heuristic optimization algorithms, such as Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA), is conducted, in this work, to verify the feasibility of the proposed optimization algorithm in satisfying the desired ultimate goals of the sizing of the considered stand-alone system.In addition, a techno-economic study is conducted to assess the economic viability of the proposed optimum system over the project lifetime.The obtained results showed that the proposed energy management strategy is effective in controlling the energy flow within the proposed system. In addition, they indicated that the proposed SO can give the best optimization results compared to the other considered algorithms. Finally, the obtained results showed, also, that the integration of the stand-alone PV-battery in FCSEVs is crucial and necessary to overcome the well-known problems of the conventional fossil fuel resources.

Keywords


Photovoltaic; Battery storage system; Electric vehicles; Charging stations; Snake optimization.

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DOI (PDF): https://doi.org/10.20508/ijrer.v12i4.13487.g8620

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