Two-Stage Method for Optimal Planning of Electric Vehicle Charging Station
Shu Jun1, Tang Gang2, Han Bing3
1.School of Electrical & Electronic Engineering North China Electric Power University Beijing 102206 China 2.State Grid Jiangsu Electric Power Company Lianyungang Power Supply Company Lianyungang 222004 China 3.China Three Gorges Corporation Beijing 100038 China
Abstract Considering the impact of the road network on the charging demand of electric vehicles, this paper presents a two-stage method to solve the optimal planning of charging station problem. In the first stage, stochastic simulation technique and the shortest path method are applied to determine the distribution of charging demand in time and space of electric vehicles on road network based on the driving characteristics, the battery residual capacity, as well as the dynamic state and location of electric vehicles. The second stage, based on the charging demand of electric vehicles derived from the first stage, proposes a mathematical model of optimal location of charging station with the objective of minimizing investment and operation costs, of which the electric vehicle charging rate constraint, arriving rate constraint and the total investment limitation are examined to ensure the feasibility of the solution. To overcome difficulties in solving the mixed-integer nonlinear optimization problem, genetic algorithm is introduced. The effectiveness of the proposed approach is validated by numerical case studyingon the electric vehicles charging station that planning of a certain area.
Shu Jun,Tang Gang,Han Bing. Two-Stage Method for Optimal Planning of Electric Vehicle Charging Station[J]. Transactions of China Electrotechnical Society, 2017, 32(3): 10-17.
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2017, Vol. 32 
