Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm

Qiongjie Dai, Jicheng Liu and Qiushuang Wei
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Qiongjie Dai: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China
Jicheng Liu: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China
Qiushuang Wei: School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China

Sustainability, 2019, vol. 11, issue 7, 1-21

Abstract: In order to effectively improve the utilization rate of solar energy resources and to develop sustainable urban efficiency, an integrated system of electric vehicle charging station (EVCS), small-scale photovoltaic (PV) system, and battery energy storage system (BESS) has been proposed and implemented in many cities around the world. This paper proposes an optimization model for grid-connected photovoltaic/battery energy storage/electric vehicle charging station (PBES) to size PV, BESS, and determine the charging/discharging pattern of BESS. The multi-agent particle swarm optimization (MAPSO) algorithm solves this model is solved, which combines multi-agent system (MAS) and the mechanism of particle swarm optimization (PSO). In this model, a load simulation model is presented to simulate EV charging patterns and to calculate the EV charging demand at each time interval. Finally, a case in Shanghai, China is conducted and three scenarios are analyzed to prove the effectiveness of the proposed model. A comparative analysis is also performed to show the superiority of MAPSO algorithm.

Keywords: electric vehicle charging station; photovoltaic; energy storage; multi-agent system; particle swarm optimization algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

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