A Stackelberg game-based approach to load aggregator bidding strategies in electricity spot markets

被引:5
作者
Li, Yanbin [1 ]
Yang, Yining [1 ]
Zhang, Feng [1 ]
Li, Yun [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
关键词
Load aggregator; Spot market; Shared energy storage; Stackelberg game;
D O I
10.1016/j.est.2024.112509
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Load aggregators (LA) can aggregate the users with adjustable load capacity such as shared energy storage into a scaled resource in a package, and solve the problem of insufficient demand-side management by participating in the competition of electricity spot market. It is gradually becoming an emerging way to mobilize adjustable loads and improve load demand response capability. But it takes a set of economical and reliable bidding strategies to guide LA's participation in the spot market. This paper first describes the framework of the LA and the functions of the stakeholders in the system, as well as the trading mechanisms for their participation in the spot market, proposing a two-stage determination model of pricing and quantification; Secondly, a Stackelberg game model is developed, combining the operational constraints of different players, with the trading center as the leader and the LA and generators as the followers; Finally, four scenarios are designed to verify the validity of the model, and the results show that the proposed LA trading strategy reduces the purchasing cost by 16.53 % and increases the revenue by 12.66 %. The introduction of the Stackelberg game model ensures the sustainability of the strategy and provides an innovative idea for the trading strategy of customer-side in the spot market.
引用
收藏
页数:14
相关论文
共 42 条
[1]   Consumers' preference based optimal price determination model for P2P energy trading [J].
Amin, Waqas ;
Huang, Qi ;
Afzal, M. ;
Khan, Abdullah Aman ;
Zhang, Zhenyuan ;
Umer, Khalid ;
Ahmed, Syed Adrees .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 187
[2]   Determining the Peer-to-Peer electricity trading price and strategy for energy prosumers and consumers within a microgrid [J].
An, Jongbaek ;
Lee, Minhyun ;
Yeom, Seungkeun ;
Hong, Taehoon .
APPLIED ENERGY, 2020, 261
[3]   Design of efficient generation markets [J].
Baldick, R ;
Helman, U ;
Hobbs, BF ;
O'Neill, RP .
PROCEEDINGS OF THE IEEE, 2005, 93 (11) :1998-2012
[4]  
Chen C., 2023, J. Energy Storage, V1
[5]   Two-stage multiple cooperative games-based joint planning for shared energy storage provider and local integrated energy systems [J].
Chen, Changming ;
Zhu, Yongqing ;
Zhang, Tianhan ;
Li, Qingsheng ;
Li, Zhen ;
Liang, Hongle ;
Liu, Chang ;
Ma, Yuanqian ;
Lin, Zhenzhi ;
Yang, Li .
ENERGY, 2023, 284
[6]   Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview [J].
Cheng, Lefeng ;
Yu, Tao .
IEEE ACCESS, 2019, 7 :25727-25762
[7]   Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction [J].
Dong, Jun ;
Wang, Yuanyuan ;
Dou, Xihao ;
Chen, Zhengpeng ;
Zhang, Yaoyu ;
Liu, Yao .
SUSTAINABILITY, 2021, 13 (12)
[8]   Research on the Evolution Path of China's Power Spot Market [J].
Fan, Menghua ;
Qu, Haoyuan ;
Yang, Su .
2020 6TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2020, 508
[9]   Techno-economic evaluation of battery energy storage systems on the primary control reserve market under consideration of price trends and bidding strategies [J].
Fleer, Johannes ;
Zurmuehlen, Sebastian ;
Meyer, Jonas ;
Badeda, Julia ;
Stenzel, Peter ;
Hake, Juergen-Friedrich ;
Sauer, Dirk Uwe .
JOURNAL OF ENERGY STORAGE, 2018, 17 :345-356
[10]  
[葛睿 Ge Rui], 2017, [电力系统自动化, Automation of Electric Power Systems], V41, P10