Electric Power ›› 2023, Vol. 56 ›› Issue (9): 15-26.DOI: 10.11930/j.issn.1004-9649.202303130

• Design and Key Technologies for the Development Path of the National Unified Electricity Market • Previous Articles     Next Articles

A Decomposition and Optimization Method for Government-Authorized Contracts in a Dual-track Spot Electricity Market Based on Game Equilibrium

WU Mingxing1,2, WANG Ning1, WANG Haohao1, ZHU Tao1, CHEN Qing1, WANG Xuanding1, YANG Saite3   

  1. 1. Guangdong Electric Power Trading Center Co., Ltd., Guangzhou 510030, China;
    2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
    3. Beijing Tsintergy Technology Co., Ltd., Beijing 100084, China
  • Received:2023-03-30 Revised:2023-07-19 Accepted:2023-06-28 Online:2023-09-23 Published:2023-09-28
  • Supported by:
    This work is supported by Science and Technology Project of China Southern Power Grid Corporation (Research on Key Mechanisms of Bilateral Quotation Trading and Dual-track Mode in Guangdong Power Spot Market, No.GDKJXM20201926).

Abstract: In the electricity spot market, the curve decomposition method of government authorization contracts has significant impacts on the funds scale of the market and the interests of participants. Hence it is becoming urgent to solve the decomposition of the government-authorized contracts in a reasonable way. According to the actual requirements of the electricity spot pilot project, this paper first takes into full consideration the correlation between the scale of unbalanced funds, the decomposition results of the government-authorized contracts, the quotation strategy of the power generation entities and the results of market clearing. Based on game equilibrium, a decomposition and optimization method for government-authorized contracts in a dual-track spot electricity market is constructed. Then, the government-authorized contract decomposition model to constraint the unbalanced funds scale, the quotation decision model of power generation companies considering the decomposition results of the government-authorized contracts, and the market clearing model are established respectively. A three-layer particle swarm optimization algorithm is proposed to achieve iterative corrections between different models, such that the contract decomposition results that balance the individual and the overall interests of the market are obtained. Finally, case studies are conducted and analyzed by means of numerical simulations . The effect of the proposed method on reducing the unbalanced funds scale in the market is verified under the interactions of various factors and game equilibrium.

Key words: government-authorized contract, dual track, unbalanced funds, quotation strategy, game equilibrium