Game Strategy of Integrated Energy Service Providers Based on Bi-level Optimization

被引：0

作者：

Li P. ^{[1
]}

Ma X. ^{[1
]}

Guo Z. ^{[1
]}

Lei J. ^{[1
]}

Yuan Z. ^{[1
]}

He S. ^{[2
]}

Chen B. ^{[2
]}

Liu N. ^{[2
]}

机构：

[1] Electric Power Research Institute, CSG, Guangzhou

[2] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Changping District, Beijing

来源：

Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 02期

关键词：

Bi-level optimization; Game theory; Integrated energy market; Integrated energy service provider; Market clearing;

D O I：

10.13335/j.1000-3673.pst.2020.1013

中图分类号：

学科分类号：

摘要：

With the promotion of more efficient integrated energy system (IES) and marketization of energy trading, the prices and transactions of multiple energy sources are becoming more and more coupled and interrelated, and the integrated energy markets (IEM) have gradually become the research hotspots. As one of the core members of the IEM, the integrated energy service providers' (IESP) market behavior and strategies will have a tremendous impact on the IEM. Aiming at the games among multiple IESPs in the IEM, a bi-level bidding strategy optimization model of IESP is established in this paper: The upper level is a game model among IESPs, while the lower level a market clearing model of power and natural gas market. A diagonalization algorithm is proposed to solve the above model. Based on the above model, an extreme strategy set is set up for every IESP And the market clearing results under each extreme strategy are calculated to make quantitative analysis for the impact of the market clearing caused by every IESP's bidding strategies. Finally, case analysis demonstrates the effectiveness and feasibility of the proposed model and algorithm in the paper. © 2021, Power System Technology Press. All right reserved.

引用

页码：460 / 469

页数：9

共 20 条

[1] Liu N, Wang J, Wang L., Hybrid energy sharing for multiple microgrids in an integrated heat-electricity energy system, IEEE Transactions on Sustainable Energy, 10, 3, pp. 1139-1151, (2019)
[2] Wang Weiliang, Wang Dan, Jia Hongjie, Et al., Review of steady-state analysis of typical regional integrated energy system underthe background of energy internet, Proceedings of the CSEE, 36, 12, pp. 3292-3305, (2016)
[3] Ma Zhao, Zhou Xiaoxin, Shang Yuwei, Et al., Exploring the concept, key technologies and development model of energy internet, Power System Technology, 39, 11, pp. 3014-3022, (2015)
[4] Wang D, Qiu J, Meng K, Et al., Coordinated expansion co-planning of integrated gas and power systems, Journal of Modern Power Systems and Clean Energy, 5, 3, pp. 314-325, (2017)
[5] Yang Zheng, Peng Sicheng, Liao Qingfen, Et al., Non-cooperative trading method for three market entities in integrated community energy system, Automation of Electric Power Systems, 42, 14, pp. 38-45, (2018)
[6] Liu Fan, BieZhaohong, Liu Shiyu, Et al., Framework design transaction mechanismand key issues of energy internet market, Automation of Electric Power Systems, 42, 13, pp. 114-123, (2018)
[7] Liu N, He L, Yu X, Et al., Multi-party energy management for grid-connected microgrids with heat and electricity coupled demand response, IEEE Transactions on Industrial Informatics, 14, 5, pp. 1887-1897, (2018)
[8] Cong Hao, Wang Xu, Jiang Chuanwen, Et al., Coalition game based optimized operation method for integrated energy systems, Automation of Electric Power Systems, 42, 14, pp. 20-28, (2018)
[9] Zhou Changcheng, Ma Xiyuan, Liu Yuquan, Et al., Cost sharing and income allocation method of integrated energy system in industrial parks based on cooperative games, Southern Power System Technology, 12, 3, pp. 66-71, (2018)
[10] Wang Xian, Zhang Huajun, Zhang Shaohua, Game model of electricity market involving virtual power plant composed of wind power and electric vehicles, Automation of Electric Power Systems, 43, 3, pp. 222-231, (2019)

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