Research on the Planning of Electric Vehicle Fast Charging Stations Considering User Selection Preferences

Julong Chen () and Haoyong Chen
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Julong Chen: School of Electricity, South China University of Technology, Guangzhou 510641, China
Haoyong Chen: School of Electricity, South China University of Technology, Guangzhou 510641, China

Energies, 2023, vol. 16, issue 4, 1-21

Abstract: The global energy and environmental crisis promotes the development of electric vehicles (EVs), and the rational planning of EV fast charging stations is an important influencing factor for their development. In this paper, for the EV fast charging station capacity planning problem, a joint-optimization model for optimal planning of EV fast charging stations and the economic operation of a distribution network is constructed, considering the impact of user preference selection and EV access on the regional distribution network. To address the problems of low efficiency and local convergence found in traditional heuristic optimization algorithms, an improved krill swarm optimization algorithm (CKHA) that introduces chaotic optimization parameters to make the initial population as uniformly distributed as possible is proposed to find the optimal planning scheme for EV fast charging stations. The case results show that the optimal planning model and its solution method are effective.

Keywords: electric vehicles; capacity planning; distribution grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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