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author:

Liang, N. (Liang, N..) [1] | Pan, Z. (Pan, Z..) [2] | Xu, H. (Xu, H..) [3] | Zheng, F. (Zheng, F..) [4] | He, X. (He, X..) [5] | Zhang, J. (Zhang, J..) [6]

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Scopus PKU CSCD

Abstract:

In order to solve the problems of weak bidding ability and difficult market accommodation in high proportion wind power market,a bi-level Stackelberg game model of high proportion wind power coupled hydrogen energy storage system participating in spot market bidding is proposed. Firstly,the internal energy conversion relationship of the wind-hydrogen coupling system is studied,and the energy“time-space translation”mechanism of the wind-hydrogen coupling system is revealed. Considering the benefits of the wind-hydrogen coupling system and the cost of wind curtailment,the wind power bidding and hydrogen energy storage charging and discharging decision models are established. Secondly,taking into account the interests of wind- hydrogen coupling system and independent system operators,a market clearing model with thermal power units and wind-hydrogen coupling system as the main body is established based on Stackelberg game. Finally,aiming at the difficulty of solving the two-layer model,the KKT(Karush-Kuhu-Tucker)condition and strong duality theory are used to transform the bi-level model into a single-level mixed integer programming model which is easy to be solved. The simulation results show that the proposed strategy has played a positive role in the market consumption of high proportion of wind power. © 2024 Science Press. All rights reserved.

Keyword:

bidding strategy bi-level optimal scheduling game theory hydrogen storage power markets wind power

Community:

  • [ 1 ] [Liang N.]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China
  • [ 2 ] [Pan Z.]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China
  • [ 3 ] [Xu H.]Institute of Economic Technology, State Grid Gansu Electric Power Company, Lanzhou, 730050, China
  • [ 4 ] [Zheng F.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [He X.]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China
  • [ 6 ] [Zhang J.]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China

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Source :

Acta Energiae Solaris Sinica

ISSN: 0254-0096

Year: 2024

Issue: 2

Volume: 45

Page: 351-359

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 2

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