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author:

Pan, Zhengnan (Pan, Zhengnan.) [1] | Liang, Ning (Liang, Ning.) [2] | Xu, Huihui (Xu, Huihui.) [3] | Zheng, Feng (Zheng, Feng.) [4] | He, Xiyu (He, Xiyu.) [5] | Zhang, Jiangyun (Zhang, Jiangyun.) [6]

Indexed by:

EI PKU CSCD

Abstract:

In order to solve the problem of cooperative operation of wind-hydrogen multi-energy system under market mechanismthe cooperative operation strategy of wind power-virtual hydrogen plant VHPparticipating in spot market based on Nash bargaining theory is proposed. The flexible operation mechanism of hydrogen energy system is revealed from three aspects of hydrogen productionhydrogen storage and flexible hydrogen load. The concept of VHP is proposed and an integrated model of hydrogen energy system considering the cooperative operation of productionstorage and utilization is established. On this basisconsidering the charac teristics of resource complementarity and low carbon complementarity among different hydrogen production technologiesthe'comprehensive hydrogen production'system for the coupling operation of electrolytic water hydrogen production and coal hydrogen production is put forward from the perspective of technological com bination innovation. The uncertainty of wind power and market electricity price are described based on the typical set of scenariosand taking the maximum revenue as the objectivethe two-stage stochastic program ming model of wind power-VHP cooperative operation in the electricity spot market environment is established based on the Nash bargaining theory. In order to protect the privacy of each subjectafter the equivalent conversion of the original Nash bargaining problemthe distributed solution of the cooperative operation model is realized based on the alternating direction method of multipliersand the effectiveness of the pro posed strategy is verified by simulation examples. © 2023 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

Coal deposits Electric loads Hydroelectric power plants Hydrogen production Hydrogen storage Power markets Stochastic models Stochastic systems Virtual Power Plants Wind power

Community:

  • [ 1 ] [Pan, Zhengnan]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650051, China
  • [ 2 ] [Liang, Ning]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650051, China
  • [ 3 ] [Xu, Huihui]Institute of Economic Technology, State Grid Gansu Electric Power Company, Lanzhou; 730070, 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; 650051, China
  • [ 6 ] [Zhang, Jiangyun]Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming; 650051, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2023

Issue: 5

Volume: 43

Page: 129-137

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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