1.School of Electrical &2.Electronic Engineering, North China Electric Power University, Beijing 102206, China
This work is supported by Fundamental Research Funds for the Central Universities (No. 2019QN123) and State Grid Zhejiang Electric Power Co., Ltd. (No. 5211HZ17000D).
An optimal control strategy of grid-connected electric vehicles (EVs) considering demand difference is proposed, which considers the different demands of EV users. Firstly, the grid-connected EVs are divided into three subsets, including rigid set, reducible set and flexible set according to the demand differences, and the charging-discharging control model is established, respectively. Then, the behavior model of EV users is constructed to describe the distribution characteristics of the user behavior, and then the planned power demand is formulated. Finally, the rolling horizon optimization strategy for grid-connected EVs is proposed with the objective of minimized deviation between actual power and planned power and power fluctuation. The power increments of EVs in reducible set and flexible set are took as the optimal control variables and solved under the constraints of the charging-discharging control model. Experimental analysis shows that the proposed optimization strategy ensures that the actual power matches the planned power while taking into account the different demands of users. Moreover, it is robust to random dynamic factors in the optimization progress.
ZHANG Bingxu,XU Gang.Rolling Horizon Optimization for Grid-connected Electric Vehicles Considering Demand Difference[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191014006.