Research on the Optimization Plan Method based on Electric Vehicles' Scheduling Strategy in Active Distribution Network with Wind/Photovoltaic/Energy Storage Hybrid Distribution System

2018 3rd Asia Conference on Power and Electrical Engineering

能源学;电工学

Liu, Yali^1 ; Zhao, Xin^1 ; Li, Guodong^1 ; Liu, Yujun^2 ; Yin, Hongyuan^2

Electric Power Research Institute of State Grid Tianjin Electric Power Company, Tianjin

300384, China^1

School of Electrical Engineering, Southeast University, Nanjing

210096, China^2

关键词: Active distribution networks;    Distributed generations (DGs);    Distribution systems;    Economical operation;    Electric Vehicles (EVs);    Management characteristics;    Probability modeling;    Scheduling strategies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/366/1/012025/pdf
DOI  :  10.1088/1757-899X/366/1/012025

来源: IOP

【 摘 要 】

The rapid development of electric vehicles (EVs) and distributed generations (DGs) has brought new challenges to the safe and economical operation of power system. This paper mainly works on how to optimize the management of plug-in EVs in the distribution system with fixed DGs, in order to achieve the economic and stability in power grid. Firstly, the management characteristic of EV is discussed and classified to obtain the access probability model. Secondly, being in distribution network investors' shoes and considering the constraints of distribution network, DG, ESS and EV, the economic management of EV optimization bi-level model is established with the objective function of maximum annual income and minimum fluctuation of output power of equivalent load. Then the genetic algorithm(GA) is used to solve this model. Finally, the experimental results of 33-bus system with DGs and EVs verifies the effectiveness of the proposed method, and the influence of different penetration of EV on the annual income of distribution network is also analysed to provide a new idea for the future development of distribution network.