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Journal of System Simulation

Abstract

Abstract: To address the multifaceted challenges arising from the widespread integration of electric vehicles into the power grid, harnessing the dispatchability features of electric vehicles becomes imperative. This paper based on a virtual energy storage aggregation model, optimizes the charging scheduling of electric vehicles and assesses their charging incentives through a composite weighting methodology. It establishes a framework for the participation of flexible loads in distribution network scheduling, formulates a second-order cone relaxation optimal power flow model, and develops dispatch strategies. By quantifying the contribution of electric vehicles concerning their flexibility and system stability, and simulating user charging preferences using a fuzzy inference system, this paper achieves effective guidance and optimization of electric vehicle charging. Simulation results affirm that this approach can fully tap into the demand response potential of electric vehicles, thereby enhancing the economic efficiency of system operation.

First Page

732

Last Page

741

CLC

TP391.9

Recommended Citation

Chen Shuo, Hu Hao, Fang Huimin, et al. Electric Vehicle Dispatching Strategy and Incentive Evaluation Based on Virtual Energy Storage[J]. Journal of System Simulation, 2025, 37(3): 732-741.

Corresponding Author

Zhu Jiaʹnan

DOI

10.16182/j.issn1004731x.joss.23-1316

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