Conic Programming Based Day-ahead Optimization Dispatch in Distribution Network Containing Large-scaled Distributed Generation and Electric Vehicle

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Gao, Fei^1 ; Song, Xiaohui^1 ; Shi, Haifeng^2 ; Li, Jianfang^1 ; Zhang, Yu^1 ; Li, Yajie^1 ; Zhao, Shanshan^1

China Electric Power Research Institute, Beijing, China^1

State Grid Haining Power Supply Company, Haining, China^2

关键词: Active power;    Conic programming;    Distributed generations (DGs);    Electric Vehicles (EVs);    Non-linear optimization;    Operation safety;    Second-order cone programming;    Test systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012063/pdf
DOI  :  10.1088/1757-899X/486/1/012063

来源: IOP

【 摘 要 】

Regarding day-ahead optimization dispatch in distribution network containing large-scaled distributed generations (DGs) and electric vehicles (EVs), this paper proposes an optimization dispatch method based on conic programming. A model for dispatch that can optimize the EV aggregator charging power and the output of DGs is established. The proposed model takes the constrains of EV charging energy and charging power into consideration. In addition, DG can curtail the active power in the model to guarantee the operation safety. Then nonlinear optimization dispatch model are transformed and relaxed into second-order cone programming model to be solved. The optimization dispatch method proposed in this paper is verified by the IEEE33 node test system.