Multi-objective Optimal Scheduling Strategy of Microgrid Based on V2G Technology
Lingxin Zhang, Yang Liu, Lichao Hao, Xiyue Zheng, Xiaozhen Liu, Jialu Li
Abstract
Aiming at the problem of large fluctuation of microgrid output and the need for large-scale energy storage equipment to stabilize load fluctuations, this paper uses V2G technology to replace some energy storage equipment with electric vehicle batteries to realize the optimal scheduling of electric vehicles participating in the microgrid. Firstly, a bi-objective cooperative scheduling model of battery and V2G considering economy and grid-connected load fluctuation rate is established, and EV schedulable period constraint, power constraint and capacity constraint are given. Then, an improved cuckoo search algorithm is proposed to compare the economy and security of V2G electric vehicle users, grid and microgrid dispatch centers under the two operation modes of disorderly and orderly scheduling of V2G electric vehicle loads. Finally, an example simulation is carried out. The results show that EV can effectively suppress the fluctuation of microgrid and further improve the economic benefits of the three parties by replacing part of the capacity of energy storage equipment, which proves the effectiveness of the method.