Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining

被引:6
|
作者
Zhang, Wen-wei [1 ,3 ]
Wang, Wei-qing [1 ,3 ]
Fan, Xiao-chao [2 ,3 ]
He, Shan [1 ,3 ]
Wang, Hai-yun [1 ,3 ]
Wu, Jia-hui [1 ,3 ]
Shi, Rui-jing [2 ,3 ]
机构
[1] Xinjiang Univ, Coll Elect Engn, Urumqi, PR, Brazil
[2] Xinjiang Inst Engn, Urumqi, Peoples R China
[3] Engn Res Ctr Renewable Energy Generat & Grid Contr, 777 Huarui St, Urumqi 830017, Peoples R China
基金
中国国家自然科学基金;
关键词
Asymmetric Nash bargaining; Improved ladder-type carbon trading; mechanism; Multi-park integrated energy system; Multi-energy sharing trading mechanism; The interaction between supply and; demand; COOPERATIVE ENERGY; OPTIMIZATION; MICROGRIDS; MANAGEMENT; POWER;
D O I
10.1016/j.egyr.2023.06.017
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the current energy transactions of multi-park integrated energy system (M-PIES), aiming at the problems that the interaction between the supply side and the demand side is not fully considered, the sharing potential of multiple energy sources is not fully tapped, the benefit distribution mechanism considering the contribution of the load aggregator (LA) is lacking, and with the all-round development of the carbon trading market (CTM), the existing ladder-type carbon trading (LCT) mechanism has insufficient capacity to limit CO2 discharges of M-PIES, etc., this paper puts forward a low-carbon optimal operation strategy of M-PIES considering the multi-energy sharing trading mechanism (MSTM) and asymmetric Nash bargaining (ANB). Firstly, the interaction between supply and demand (IS & D) is fully considered, and the benefit maximization model of PIES operator-LA multi-agent alliance considering MSTM and improved ladder-type carbon trading mechanism (ILCTM) is established by using Nash negotiation theory (NNT). Then, according to the different bargaining capabilities of each agent, a profit distribution model based on ANB is proposed, and it is solved by alternating direction method of multipliers (ADMM). Finally, through the comparison of different cases, it is proved that the proposed method can further reduce CO2 discharges of M-PIES, improve the benefits of each agent and alliance, and realize the fair and reasonable distribution of energy sharing (ES) benefits.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:255 / 284
页数:30
相关论文
共 50 条
  • [1] Asymmetric Nash bargaining-based cooperative energy trading of multi-park integrated energy system under carbon trading mechanism
    Chen, Jian
    Tang, Zhiyuan
    Huang, Yuan
    Qiao, Ao
    Liu, Junyong
    Electric Power Systems Research, 2024, 228
  • [2] Asymmetric Nash bargaining-based cooperative energy trading of multi-park integrated energy system under carbon trading mechanism
    Chen, Jian
    Tang, Zhiyuan
    Huang, Yuan
    Qiao, Ao
    Liu, Junyong
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 228
  • [3] Distributed Low-carbon Optimal Operation Strategy of Multi-microgrids Integrated Energy System Based on Nash Bargaining
    Gu X.
    Wang Q.
    Hu Y.
    Zhu Y.
    Ge Z.
    Dianwang Jishu/Power System Technology, 2022, 46 (04): : 1464 - 1475
  • [4] Low-carbon Optimal Operation of Integrated Energy System Considering Multi-energy Conversion and Concentrating Solar Power Plant Participation
    Dong H.
    Yun Y.
    Ma Z.
    Wang D.
    Dianwang Jishu/Power System Technology, 2020, 44 (10): : 3689 - 3699
  • [5] Low-carbon economic operation for integrated energy system considering carbon trading mechanism
    Sun, Peiran
    Hao, Xuejun
    Wang, Jun
    Shen, Di
    Tian, Lu
    ENERGY SCIENCE & ENGINEERING, 2021, 9 (11) : 2064 - 2078
  • [6] Multi-park Low-carbon Optimal Scheduling Under Energy Sharing Mode Based on Cooperative Game
    Wang Z.
    Chen L.
    Li X.
    Mei S.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (04): : 1380 - 1393
  • [7] Asymmetric Nash bargaining model for operation optimization of multi-integrated energy systems considering peer-to-peer energy trading
    Yang, Meng
    Liu, Yisheng
    Kobashi, Takuro
    SUSTAINABLE CITIES AND SOCIETY, 2024, 114
  • [8] Low-carbon economic optimal operation strategy of rural multi-microgrids based on asymmetric Nash bargaining
    Qin, Minglei
    Xu, Qingshan
    Liu, Wei
    Xu, Ziming
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (01) : 24 - 38
  • [9] Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response
    Yang, Meng
    Liu, Yisheng
    ENERGY, 2023, 283
  • [10] Operation Optimization Strategy of Multi-microgrids Energy Sharing Based on Asymmetric Nash Bargaining
    Wu J.
    Lou P.
    Guan M.
    Huang Y.
    Zhang W.
    Cao Y.
    Dianwang Jishu/Power System Technology, 2022, 46 (07): : 2711 - 2721