Optimal Allocation for Charging Piles in Multi-areas Considering Charging Load Forecasting Based on Markov Chain
Considering the complexity and diversity of user travel habits, and satisfying the charging demands, charging piles in different areas should be reasonable planned. Firstly, Markov chain is used to describe changes in battery state of charge with three decision-making behavior including driving, charging, neither charging nor driving of electric vehicle owners trip in the whole day. According to real-time charging behavior in the process, the fast and slow charging demand of different vehicle types are predicted. Then considering mobility characteristics of electric vehicles and the number of different types of electric vehicles in different time periods in some area, the total load demand would be predicted. The optimization model aims to minimize investment and operating and maintenance costs for the charging piles, which takes balanced electric vehicle movement characteristics inequality constraints into account, and is realized by particle swarm optimization algorithm. The effectiveness of the proposed method is verified by the simulation on 33-bus system.
electric vehicle Markov Chain charging piles mobility optimal allocation
Xu Wei Lv Lin Xiang Yue Huang Yuan Li Yuanxi
School of Electrical Engineering and Information,Sichuan University 610065,Sichuan Province,China State Grid Beijing Electric Power Company,Changping Power Company,102200
国际会议
西安
英文
1-7
2016-09-01（万方平台首次上网日期，不代表论文的发表时间）