Review of optimized layout of electric vehicle charging infrastructures

Ye Tao , Miao-hua Huang , Yu-pu Chen , Lan Yang

Journal of Central South University ›› 2021, Vol. 28 ›› Issue (10) : 3268 -3278.

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Journal of Central South University ›› 2021, Vol. 28 ›› Issue (10) : 3268 -3278. DOI: 10.1007/s11771-021-4842-3
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Review of optimized layout of electric vehicle charging infrastructures

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Abstract

Electric vehicle is a kind of new energy vehicle which uses batteries as energy supply unit. A huge gap in charging infrastructures will be created by the expansion of electric vehicles. The effectiveness and rationality of charging facilities will directly affect the convenience and economy of the users, as well as the safe operation of the power grid. Three types of charging facilities: charging pile, charging station and battery swap station are introduced in this paper. According to the different methods of charging infrastructure planning, the research status of the method of determining charging demand points is expounded. And the spatial distribution of charging demand points extracted by the current site selection method has a certain deviation. Then the models and algorithms of charging infrastructure optimized layout are reviewed. Currently, many researches focus on three categories optimization objectives: benefit of power company side, investment cost of charging facility and user side cost, and the genetic algorithm and particle swarm optimization are the main solving algorithms. Finally, the relative methods and development trend of the charging infrastructures optimized layout are summarized, and some suggestions on the optimized layout of electric vehicle charging infrastructures are given forward.

Keywords

electric vehicle / charging infrastructures layout / optimal modeling / optimization algorithm

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Ye Tao, Miao-hua Huang, Yu-pu Chen, Lan Yang. Review of optimized layout of electric vehicle charging infrastructures. Journal of Central South University, 2021, 28(10): 3268-3278 DOI:10.1007/s11771-021-4842-3

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