Simulation Study on Optimizing Microgrid Scheduling with Electric Vehicle Participation Under V2G Mode

Authors

Zhongan Yu, School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
Hongliang Xiao, School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
Qiangwei Xia, School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China
Jiawei Liu, School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China

Abstract

Abstract: To address the negative impact of source-load uncertainty on the stable operation of the grid, a two-stage optimization scheduling strategy for the microgrid participation of electric vehicles based on the vehicle-to-grid (V2G) mode is proposed. In the first stage, the charging and discharging costs of electric vehicles as well as the load fluctuation target are determined taking into account the battery losses. Through a zero-sum game, we objectively weigh the interests of both vehicle owners and the microgrid, utilizing the mobile energy storage characteristics of electric vehicles to optimize the load curve and integrate renewable energy; in the second stage, with the aim of minimizing microgrid operating costs and reducing the standard deviation of the interconnection power line, we optimize the output of controllable units within the microgrid and manage the interaction power with the upper-level grid; the model is jointly solved using the CPLEX solver and the improved multi-objective grey wolf optimizer. Simulation results demonstrate that our proposed approach effectively reduces vehicle owner costs, decreases load fluctuations, and achieves economic and stable operation of the microgrid.

Recommended Citation

Yu, Zhongan; Xiao, Hongliang; Xia, Qiangwei; and Liu, Jiawei (2025) "Simulation Study on Optimizing Microgrid Scheduling with Electric Vehicle Participation Under V2G Mode," Journal of System Simulation: Vol. 37: Iss. 6, Article 7.
DOI: 10.16182/j.issn1004731x.joss.24-0183
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss6/7

First Page

1412

Last Page

1426

CLC

TM73; TP391.9

Recommended Citation

Yu Zhongan, Xiao Hongliang, Xia Qiangwei, et al. Simulation Study on Optimizing Microgrid Scheduling with Electric Vehicle Participation Under V2G Mode[J]. Journal of System Simulation, 2025, 37(6): 1412-1426.

Corresponding Author

Xiao Hongliang

DOI

10.16182/j.issn1004731x.joss.24-0183