Electric Vehicles Charging Scheduling Strategy Considering the Uncertainty of Photovoltaic Output

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Wei, Xiangxiang^1 ; Su, Su^1 ; Yue, Yunli^2 ; Wang, Wei^1 ; He, Luobin^1 ; Li, Hao^1 ; Ota, Yutaka^3

National Active Distribution Network Technology Research Centre, Beijing Jiaotong University, Haidian District, Beijing

100044, China^1

Stake Grid Jibei Electric Power Company, China^2

Tokyo City University, Japan^3

关键词: Collaborative research;    Distributed networks;    Economic operations;    Photovoltaic;    Power System;    Power-losses;    Prediction methods;    Scheduling strategies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012006/pdf
DOI  :  10.1088/1757-899X/199/1/012006

来源: IOP

【 摘 要 】

The rapid development of electric vehicles and distributed generation bring new challenges to security and economic operation of the power system, so the collaborative research of the EVs and the distributed generation have important significance in distribution network. Under this background, an EVs charging scheduling strategy considering the uncertainty of photovoltaic(PV) output is proposed. The characteristics of EVs charging are analysed first. A PV output prediction method is proposed with a PV database then. On this basis, an EVs charging scheduling strategy is proposed with the goal to satisfy EVs users' charging willingness and decrease the power loss in distribution network. The case study proves that the proposed PV output prediction method can predict the PV output accurately and the EVs charging scheduling strategy can reduce the power loss and stabilize the fluctuation of the load in distributed network.