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author:

Zheng, Wendi (Zheng, Wendi.) [1] | Zhao, Yuhang (Zhao, Yuhang.) [2] | Shao, Zhenguo (Shao, Zhenguo.) [3] | Lai, Zhenhua (Lai, Zhenhua.) [4] | Wang, Jiateng (Wang, Jiateng.) [5] | Yang, Yingsheng (Yang, Yingsheng.) [6]

Indexed by:

SCIE

Abstract:

The electricity-hydrogen coupling system (EHCS) aims to enhance the diversification of energy use and reduce carbon emissions. However, fraudulent behaviors within the market environment can impede the energy sharing within the EHCS. This paper establishes a peer-to-peer (P2P) energy trading framework for EHCSs that accounts for fraudulent behaviors into account. First, a cooperative operational framework for EHCS is established, upon which an internal device model for EHCSs is subsequently constructed. To optimize energy trading, carbon trading is introduced, and a Nash bargaining problem is formulated, subsequently decomposed into two subproblems. To safeguard privacy, the alternating direction method of multipliers (ADMM) is employed to solve these subproblems. Furthermore, to ensure stable cooperation and maximize trading benefits, a fraudulent behaviors equilibrium mechanism is proposed. The results of case studies show that the proposed P2P trading mechanism can achieve fraudulent behaviors equilibrium, reduce energy waste, and enhance the economic benefits of the alliance.

Keyword:

Electricity-hydrogen coupling system (EHCS) Energy trading Fraudulent behaviors Nash bargaining Peer-to-peer transactions

Community:

  • [ 1 ] [Zhao, Yuhang]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zhao, Yuhang]Fuzhou Univ, Fujian Smart Elect Engn Technol Res Ctr, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Zhao, Yuhang]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

ISSN: 0360-3199

Year: 2025

Volume: 136

Page: 115-125

8 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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