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author:

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

Indexed by:

EI PKU CSCD

Abstract:

As an important market means to promote energy revolution, the regional distribution trading in the energy interconnection area needs to develop effective market strategies according to the characteristics of the local multi-energy trading and considering the risks of renewable energy output and load forecast deviation, so as to optimize the flexibility and robustness of the regional multi-energy market trading. First of all, a two-layer optimization model of the regional electric heating market trading is established based on each participant's trading willingness and efficiency maximization in the perfect competition environment. Secondly, the two-level game interactive iteration optimization method is put forward. Through the iteration optimization trading strategies and market clearing of the game participants, the participants' trading flexibility is improved and its effectiveness maximized. Taking the optimized quotation as the known values according to the market changes, energy supply and demand and the iterative efficiency, the nonlinear complex solution is avoided in the double nested children target optimization model. In addition, in order to reduce the impact of the renewable energy output and the load forecast deviation on the participants' efficiency and the market trading, the IGDT method is used to maximize the forecast deviation under the condition of ensuring the minimum efficiency of the participants, and the obtained trading strategy has strong robustness. The results of the example show that the layered interactive iterative game mechanism can achieve the equilibrium of the regional electric heat trading market, maximize the efficiency of the participants and the social welfare, and has good flexibility and economy. By means of the IGDT method, the uncertainty of the random variables that the participants can tolerate is maximized according to the different performance deviations that the participants can accept, so that the trading decision has better robustness and operability. © 2022, Power System Technology Press. All right reserved.

Keyword:

Competition Decision theory Electric load forecasting Electric power plant loads Game theory Iterative methods Natural gas Power markets

Community:

  • [ 1 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350000, China
  • [ 2 ] [Jiang, Yuewen]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou; 350000, China
  • [ 3 ] [Jiang, Yuewen]Research Center of Integrated Energy Planning and Optimal Operation, Fuzhou University, Fuzhou; 350000, China
  • [ 4 ] [Zhao, Wanting]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350000, China

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Source :

Power System Technology

ISSN: 1000-3673

CN: 11-2410/TM

Year: 2022

Issue: 3

Volume: 46

Page: 956-972

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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