LAPSE:2023.13142
Published Article
LAPSE:2023.13142
Stackelberg-Game-Based Demand Response for Voltage Regulation in Distribution Network with High Penetration of Electric Vehicles
Linglei Xu, Qiangqiang Xie, Liang Zheng, Yongzhu Hua, Lihuan Shao, Jiadong Cui
February 28, 2023
Abstract
With the development of the economy, electricity demand continues to increase, and the time for electricity consumption is concentrated, which leads to increasing pressure on the voltage regulation of the distribution network. For example, a large number of electric vehicles charging during a low-price period may cause the problem of under-voltage of the distribution network. On the other hand, the penetration of distributed power generation of renewable energy may cause over-voltage problems in the distribution network. This study proposes a Stackelberg game model between the distribution system operator and the load aggregator. In the Stackelberg game model, the distribution system operator affects the users’ electricity consumption time by issuing subsidies to decrease the frequency of voltage violations. As the representative of users, the load aggregator helps the users schedule the demand during the subsidized period to maximize profits. Case studies are carried out on the IEEE 33-bus power distribution system. The results show that the time of the subsidy can be optimized based on the Stackelberg game model. Both the distribution system operator and the load aggregator can obtain the optimal economic profits and then comprehensively improve the operating reliability and economy of the power distribution system.
Keywords
demand response, flexible load, Genetic Algorithm, Stackelberg game, voltage control
Suggested Citation
Xu L, Xie Q, Zheng L, Hua Y, Shao L, Cui J. Stackelberg-Game-Based Demand Response for Voltage Regulation in Distribution Network with High Penetration of Electric Vehicles. (2023). LAPSE:2023.13142
Author Affiliations
Xu L: Yueqing Innovation Institute, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
Xie Q: Yueqing Innovation Institute, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China [ORCID]
Zheng L: The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China [ORCID]
Hua Y: Yueqing Innovation Institute, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
Shao L: The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
Cui J: The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
Journal Name
Energies
Volume
15
Issue
10
First Page
3654
Year
2022
Publication Date
2022-05-16
ISSN
1996-1073
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Original Submission
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PII: en15103654, Publication Type: Journal Article
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LAPSE:2023.13142
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https://doi.org/10.3390/en15103654
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