Bi-level Day Ahead Optimization of V2G Dispatch Strategy Based on the Dynamic Discharging Electricity Price

作     者：Shi, Ruifeng Yang, Yang Shi, Lili Lee, Kwang Y. 

作者机构：School of Control and Computer Engineering North China Electric Power University Beijing China School of Mathematics and Physics North China Electric Power University Beijing China Department of Electrical and Computer Engineering Baylor University TX76798 United States 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2018年第51卷第28期

页      面：462-467页

核心收录：

主　　题：Electric load dispatching Economics Electric power distribution Electric power system economics Electric power transmission networks Vehicle to grid Coordination strategy Electric Vehicles (EVs) Integration of renewable energies Load dispatch Mathematical analysis Power grid operations Scheduling strategies Time of use price 

摘      要：During the past decade, energy imbalance problem between supply and demand, together with the integration of renewable energy, have drawn much attention. Vehicle-to-Grid (V2G) technology, which aims at storing the electric power in the load valley period and supporting the grid at the load peak time, is considered as one of the most promising way to solve the energy imbalance problem. However, due to the random distribution characteristics of electric vehicles (EVs), the scale of interconnection may cause threat to the safety and economy of the power grid operation. A time-of-day price incentive mechanism is employed in this paper to address the problem, which helps to guide the EV users to shift their charging/discharging behaviors during the valley/peak period to achieve a reasonable scheduling strategy based on the dynamic discharging electricity price. Besides, mathematical analysis has been carried out to demonstrate the convergence of the proposed coordination strategy, and a case study shows that the strategy is effective. © 2018