Optimized Operation of Multi-Virtual Power Plant for Energy Sharing Based on Nash Multi-Stage Robust

被引:0
|
作者
Wang, Yong [1 ]
Wang, Haiyun [1 ]
Du, Xin [2 ]
机构
[1] Xinjiang Univ, Engn Res Ctr Educ Minist Renewable Energy Power Ge, Urumqi 830047, Peoples R China
[2] Goldwind Sci & Technol Co Ltd, Beijing 100176, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Uncertainty; Electricity; Cogeneration; Optimal scheduling; Optimization; Costs; Resistance heating; Power generation; Games; Renewable energy sources; Nash equilibrium; Virtual power plant; electric vehicle; stackelberg game; multi-stage robust optimization; nash game; nested C&CG algorithm;
D O I
10.1109/ACCESS.2024.3477970
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Currently, the research on virtual power plant (VPP) is mainly divided into internal optimal scheduling and external optimal scheduling, the internal scheduling is mainly carried out from the two sides of the source and load and the application of market mechanism, while the external scheduling is in line with the current diversified power market, and considers the synergistic operation with other VPPs. Therefore, To address the problems faced by VPP in dispatch operation, such as the low economic efficiency of VPPs operating independently and the high impact of grid electricity prices and source-load uncertainty on the safe and stable operation of VPPs, a method for energy sharing operation based on Nash multi-stage robust optimization for multi-VPP is proposed. Firstly, in order to coordinate the economic interests conflict between the operators of the VPP and electric vehicle (EV) users, the Stackelberg game theory is adopted to characterize the interactive behavior between the VPP operator and the EV users. Meanwhile, a multi-stage robust optimization model is used to construct the upper-level entity, taking into account the uncertainty of price-source-load. Unlike traditional models, this paper utilizes a min-maxmin-maxmin construction to describe the internal relationships of the model. Based on this, a multi-VPP energy sharing optimization framework is established using a Nash game. It combines robust optimization with Nash bargaining theory to create a multi-VPP Nash multi-stage robust optimization model. Additionally, nested C&CG algorithms are combined with ADMM algorithms is proposed in order to solve this model effectively. Finally, three multi-energy VPPs were selected for case study analysis in this paper, and the effectiveness of the proposed method was validated through simulation. Finally, through the case study, the results show that the optimization method proposed in this paper is feasible, after the optimization of the Nash three-stage robust model, in the face of the impact of multiple uncertainties, the cooperative operation of each VPP to enhance the revenue of 396.40 yuan, 610.75 yuan, 732.53 yuan, respectively, compared with the independent operation of the operating cost of each VPP have been significantly reduced, and the system load demand of each VPP can be fully satisfied.
引用
收藏
页码:169805 / 169823
页数:19
相关论文
共 50 条
  • [21] Multi-Stage Multi-Secret Sharing Schemes Based on Chinese Remainder Theorem
    Chanu, Oinam Bidyapati
    Tentu, Appala Naidu
    Venkaiah, V. Ch
    ICARCSET'15: PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN COMPUTER SCIENCE ENGINEERING & TECHNOLOGY (ICARCSET - 2015), 2015,
  • [22] Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization
    Yang Z.
    Wang S.
    Zhu R.
    Cui J.
    Su J.
    Chen L.
    Energy Engineering: Journal of the Association of Energy Engineering, 2024, 121 (03): : 807 - 820
  • [23] A multi-stage energy operation of the smart microgrid with optimal performance of the consumers
    Wang Jingjing
    Multiscale and Multidisciplinary Modeling, Experiments and Design, 2024, 7 : 43 - 52
  • [24] A multi-stage energy operation of the smart microgrid with optimal performance of the consumers
    Jingjing, Wang
    MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2024, 7 (01) : 43 - 52
  • [25] Robust portfolio selection based on a multi-stage scenario tree
    Shen, Ruijun
    Zhang, Shuzhong
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 191 (03) : 864 - 887
  • [26] Robust modified GA based multi-stage fuzzy LFC
    Shayeghi, H.
    Jalili, A.
    Shayanfar, H. A.
    ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (05) : 1656 - 1670
  • [27] Scheduling of AA-CAES Based Energy Hub with Wind Power Generation: A Multi-stage Robust Optimization Approach
    Bai, Jiayu
    Wei, Wei
    Xue, Xiaodai
    Mei, Shengwei
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1681 - 1686
  • [28] Hybrid Brayton Multi-Stage Concentrated Solar Power Plant Energy and Exergy Performance Study
    Moreno-Gamboa, Faustino
    Nieto-Londono, Cesar
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2021, 143 (06):
  • [29] Multi-time Scale Coordinated Operation Strategy of Virtual Power Plant Clusters Considering Power Interactive Sharing
    Liu F.
    Xu Y.
    Yang X.
    Li L.
    Fu G.
    Chai Z.
    Dianwang Jishu/Power System Technology, 2022, 46 (02): : 642 - 654
  • [30] Multi-stage robust optimization of a multi-energy coupled system considering multiple uncertainties
    Zhang, Yachao
    Xie, Shiwei
    Shu, Shengwen
    ENERGY, 2022, 238