Optimal Planning of Charging Station for Electric Vehicle Based on Simulated Annealing Genetic Optimization Algorithm

Jiao WANG, Jie-yin BAI, Jie-yin BAI, Ji-huan CHEN, Jin-yang ZHANG

Abstract


This paper focuses on the location and scale construction of urban electric vehicle charging stations. Based on the three environmental distributions of residents, industry and commerce, a comprehensive model considering the comprehensive consumption of users to charging stations, construction cost of charging stations and operating costs is established. The annealing factor of the annealing algorithm is introduced into the genetic algorithm, which ensures the diversity of the population, the global search ability and the optimization efficiency. For the specific situation, the optimal charging station location and constant volume are given.

Keywords


Electric Car, Genetic Algorithm, Annealing Algorithm, Charging Pile


DOI
10.12783/dteees/icepe2019/28917

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