Renewable Energy Accommodation-Based Strategy for Electric Vehicle Considering Dynamic Interaction in Microgrid
Yang Xiaodong1, Zhang Youbing1, Jiang Yangchang1, Xie Luyao1, Zhao Bo2
1. College of Information Engineering Zhejiang University of Technology Hangzhou 310023 China; 2. State Grid Zhejiang Electric Power Research Institute Hangzhou 310014 China
Abstract：The growing electric demand of electric vehicle (EV), coupled with increased penetration of photovoltaic (PV), promotes the research on the cooperation utilization between EV and the microgrid with a high penetration level of PV. In this paper, a dynamic control strategy for EV considering interaction response is proposed to increase renewable energy accommodation in the microgrid. Firstly, considering the relationship between PV power output supply and load demand in the microgrid, the virtual price mechanism is developed combined with real-time price and inclining block rates. Secondly, a new optimization framework for EV is presented as a mixed integer programming model to maximize the PV accommodation based on the proposed virtual price. In order to deal with the adverse impacts caused by the uncertainties of PV power output, a model predictive control method is applied to realizing dynamic interactive response control for EV. Finally, taking the microgrid in a certain office area as an example, the simulation results show that the proposed dynamic control strategy can make the demand side resource actively match PV power output, improve the PV accommodation and load characteristic, and achieve various economic benefits.
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2018, Vol. 33 
