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author:

Zhao, Wanting (Zhao, Wanting.) [1] | Jiang, Yuewen (Jiang, Yuewen.) [2] (Scholars:江岳文) | Chen, Chuanbin (Chen, Chuanbin.) [3]

Indexed by:

EI PKU CSCD

Abstract:

Regional distributed market with energy interconnection allows the members of the small decentralized market to trade flexibly and freely. Therefore, it is necessary to formulate effective market mechanism and transaction strategy with full consideration of the willingness of market players to optimize regional multi-energy market transaction. Firstly, the framework of regional electric and thermal energy market is established. Secondly, by analyzing transaction willingness of participants, an iterative game mechanism of Nash equilibrium with information center is proposed, in which the participants develop transaction strategies to maximize their utility and submit them to the market, and then clear the market operators to maximize the social welfare. The iterative game coordinates the supply and demand relationship of market electric and thermal energy. In view of the complexity in purchasing and selling energy transaction strategy of regional commercial thermal storage station and commercial electricity storage stations, the bidding strategy of energy storage stations is optimized by introducing the bidding quantity control coefficient. Results of calculation example show that the iterative game mechanism can achieve market equilibrium, improve participants' income and maximize the social welfare. Participation of commercial energy storage stations in the transaction can increase the utilization rate of distributed renewable energy in the regional energy market and realize the optimized transaction of electric and thermal energy, which has good flexibility and economy. © 2022 Automation of Electric Power Systems Press.

Keyword:

Electric energy storage Electric power system interconnection Game theory Heat storage Iterative methods Power markets Thermal energy

Community:

  • [ 1 ] [Zhao, Wanting]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Jiang, Yuewen]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou; 350108, China
  • [ 4 ] [Jiang, Yuewen]Fuzhou University Research Center of Integrated Energy Planning and Optimal Operation, Fuzhou; 350108, China
  • [ 5 ] [Chen, Chuanbin]Fujian Electric Power Trading Co., Ltd., Fuzhou; 350003, China

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Source :

Automation of Electric Power Systems

ISSN: 1000-1026

CN: 32-1180/TP

Year: 2022

Issue: 6

Volume: 46

Page: 30-38

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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