Multi-objective simultaneous optimal planning of electric vehiclefast charging stations and DGs in distribution system

• 作者: Chandrasekhar YAMMANI Gurappa BATTAPOTHULA Sydulu MAHESWARAPU
• 来源期刊: 现代电力系统与清洁能源学报(英文)
• 学科: 工学
• 关键词: Electric vehicles(EVs) Fast charging stations(FCSs) Non-dominated SORTING genetic algorithmⅡ(NSGA-Ⅱ) RENEWABLE energy sources
• 年，卷（期）: 2019,（4）
• 页码范围: 923-934
• 页数: 12页
• 分类号: TM73

摘要

The large-scale construction of fast charging stations(FCSs)for electric vehicles(EVs)is helpful inpromoting the EV.It creates a significant challenge for the distribution system operator to determine the optimal planning,especially the siting and sizing of FCSs in the electrical distribution system.Inappropriate planning of fast EV charging stations(EVCSs)cause a negative impact on the distribution system.This paper presented a multiobjective optimization problem to obtain the simultaneous placement and sizing of FCSs and distributed generations(DGs)with the constraints such as the number of EVs in all zones and possible number of FCSs based on the road and electrical network in the proposed system.The problem is formulated as a mixed integer non-linear problem(MINLP)to optimize the loss of EV user,network power loss(NPL),FCS development cost and improve the voltage profile of the electrical distribution system.Non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)is used for solving the MINLP.The performance of the proposed technique is evaluated by the 118-bus electrical distribution system.