Optimized Economic Dispatch of Active Distribution Network with Electric Vehicle Group

2018 3rd Asia Conference on Power and Electrical Engineering

能源学;电工学

Kong, Jianhong^1 ; Shen, Zhonghao^3 ; Niu, Mingzhu^1 ; Zhang, Tao^2 ; Liu, Bing^1 ; Hu, Shubo^4 ; Sun, Hui^4

State Grid Dalian Electric Power Co, Ltd, Dalian

116001, China^1

State Grid Liaoning Electric Power Research Institute Co, Ltd, Shenyang

110006, China^2

State Grid Zhengzhou Electric Power Co, Ltd, Zhengzhou

450005, China^3

School of Electrical Engineering, Dalian University of Technology, Dalian

116024, China^4

关键词: Active distribution network (ADN);    Active distribution networks;    Active power flow;    Distributed generation system;    Distributed generations (DGs);    Economic Dispatch;    Electric vehicle charging;    MATLAB environment;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/366/1/012077/pdf
DOI  :  10.1088/1757-899X/366/1/012077

来源: IOP

【 摘 要 】

With increasing penetration of distributed generation system and electric vehicles in the distribution network, new active power flow management and economic dispatch are required to cope with uncertainty and intermittence. An electric vehicle (EV) group management agency is introduced in this paper in the context of Chinese electricity market, considering the flexibility of EVs and distributed generations (DGs). An active distribution network (ADN) coordination optimal dispatch model is set up to minimize the generation cost of the distribution network and the charging cost of the electric vehicles in Matlab environment. An IEEE33-bus test system model with electric vehicle group is built up to improve electric vehicle charging and discharging management. The results verify the effectiveness of the proposed method on improving the satiability and safety of the system.