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[期刊论文]

BIDDING STRATEGY AND OPTIMAL DISPATCHING METHOD OF WIND-HYDROGEN COUPLING SYSTEM PARTICIPATING IN SPOT MARKET

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author:

Liang, Ning (Liang, Ning.) [1] | Pan, Zhengnan (Pan, Zhengnan.) [2] | Xu, Huihui (Xu, Huihui.) [3] | Unfold

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EI 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:

Electric utilities Fossil fuel power plants Game theory Hydrogen storage Integer programming Thermoelectric power plants Wind power

Community:

  • [ 1 ] [Liang, Ning]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650500, China
  • [ 2 ] [Pan, Zhengnan]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650500, China
  • [ 3 ] [Xu, Huihui]Institute of Economic Technology, State Grid Gansu Electric Power Company, Lanzhou; 730050, China
  • [ 4 ] [Zheng, Feng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [He, Xiyu]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650500, China
  • [ 6 ] [Zhang, Jiangyun]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

CN: 11-2082/TK

Year: 2024

Issue: 2

Volume: 45

Page: 351-359

Cited Count:

WoS CC Cited Count:

30 Days PV: 1

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