Modeling and Simulation of Optimal Strategy for Electric Vehicles Participating in Power Grid Frequency Regulation

doi:10.16182/j.issn1004731x.joss.22-0289

Abstract

Abstract:

Electric vehicles (EVs) have similar characteristics of distributed energy storage, and making full use of the flexibility of EVs can provide ancillary services to the grid and gain benefits. Considering the influence of uncertain factors, a bidding model for electric vehicle aggregator (EVA) to participate in the day-ahead energy market and frequency regulation ancillary service market is constructed with the maximum revenue expectation of EVA as the target. A real-time energy distribution incentive strategy based on contract theory is proposed to realize the distribution of EVA's frequency regulation demand under the condition of maximizing social welfare. Through case studies, the benefits of EVAs that aggregate different types of EVs participating in the day-ahead energymarket and frequency regulation ancillary service market are compared and quantified, and the real-time energy adjustment of EVs inspired by contracts is analyzed. Simulation results show the validity of the proposed method.

Key words: electric vehicle, ancillary service, bidding strategy, frequency regulation reserve, contract incentive

CLC Number:

TP391.9

Li Yao, Junjie Hu, Wenshuai Ma, Zhile Yang. Modeling and Simulation of Optimal Strategy for Electric Vehicles Participating in Power Grid Frequency Regulation[J]. Journal of System Simulation, 2022, 34(7): 1417-1429.

Figures/Tables 10

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EV类别	到达时间	离开时间	初始SOC分布
私人EV	N(19,1²)	N(8,1²)	N(0.5,0.03²)
公交车	N(23,0.5²)	N(7,1²)	N(0.4,0.03²)

类型	总需求量/MW	总调整量/MW	EVA总效用
合约激励	531.37	531.37	1 149.94
固定激励	531.37	271.89	1 021.64

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