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

Authors

Li Yao, 1.State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;Follow
Junjie Hu, 1.State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;Follow
Wenshuai Ma, 1.State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;
Zhile Yang, 2.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China;

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.

Recommended Citation

Yao, Li; Hu, Junjie; Ma, Wenshuai; and Yang, Zhile (2022) "Modeling and Simulation of Optimal Strategy for Electric Vehicles Participating in Power Grid Frequency Regulation," Journal of System Simulation: Vol. 34: Iss. 7, Article 4.
DOI: 10.16182/j.issn1004731x.joss.22-0289
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/4

First Page

1417

Revised Date

2022-05-12

DOI Link

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

Last Page

1429

CLC

TP391.9

Recommended Citation

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.

Corresponding Author

Junjie Hu,junjiehu@ncepu.edu.cn

DOI

10.16182/j.issn1004731x.joss.22-0289