Fully Decentralized P2P Energy Trading in Active Distribution Networks With Voltage Regulation

被引:32
作者
Liu, Yun [1 ]
Sun, Chao [1 ]
Paudel, Amrit [2 ]
Gao, Yunqiang [1 ]
Li, Yuanzheng [3 ]
Gooi, Hoay Beng [4 ]
Zhu, Jizhong [1 ]
机构
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Peoples R China
[2] Univ Calgary, Dept Elect & Software Engn, Calgary, AB T2N 1N4, Canada
[3] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Key Lab Image Proc & Intelligence Control, Minist Educ, Wuhan 430074, Peoples R China
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Costs; Reactive power; Microgrids; Games; Pricing; Physical layer; Peer-to-peer computing; Active distribution network; active/reactive power coordination; fully decentralized scheme; peer-to-peer trading; voltage regulation; REACTIVE POWER; FRAMEWORK; OPERATION; DESIGN;
D O I
10.1109/TSG.2022.3184287
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Peer-to-peer energy trading in an active distribution network can contribute to benefit sharing among multiple prosumers and efficient accommodation of distributed renewable energy. Nevertheless, the distribution voltage constraints should be satisfied such that the energy transactions can be securely implemented in the physical system. To this end, this paper develops a fully decentralized dual-loop peer-to-peer energy trading mechanism with voltage regulation capability. In the inner-loop process, the self-interested energy prosumers iteratively achieve optimal energy trading via multi-bilateral negotiation without considering network constraints. Then, the prosumers coordinatedly optimize their reactive power in a decentralized way endeavoring to satisfy the voltage constraints. If no physically feasible solution is detected, an outer-loop iterative process is activated, where the over-/under-voltage prosumers autonomously adjust their trading quantities to clear the voltage problem. Various case studies are performed in the standard IEEE 33-bus and IEEE 69-bus test feeders involving multiple energy prosumers to validate the effectiveness and efficiency of the proposed scheme.
引用
收藏
页码:1466 / 1481
页数:16
相关论文
共 39 条
  • [1] Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management
    Azim, M. Imran
    Tushar, Wayes
    Saha, Tapan Kumar
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (05) : 4389 - 4402
  • [2] Distributed optimization and statistical learning via the alternating direction method of multipliers
    Boyd S.
    Parikh N.
    Chu E.
    Peleato B.
    Eckstein J.
    [J]. Foundations and Trends in Machine Learning, 2010, 3 (01): : 1 - 122
  • [3] Peer-to-Peer Energy Sharing in Distribution Networks With Multiple Sharing Regions
    Chen, Liudong
    Liu, Nian
    Wang, Jianhui
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (11) : 6760 - 6771
  • [4] A New and Fair Peer-to-Peer Energy Sharing Framework for Energy Buildings
    Cui, Shichang
    Wang, Yan-Wu
    Shi, Yang
    Xiao, Jiang-Wen
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (05) : 3817 - 3826
  • [5] A novel decentralized platform for peer-to-peer energy trading market with blockchain technology
    Esmat, Ayman
    de Vos, Martijn
    Ghiassi-Farrokhfal, Yashar
    Palensky, Peter
    Epema, Dick
    [J]. APPLIED ENERGY, 2021, 282
  • [6] Congestion management in active distribution networks through demand response implementation
    Fotouhi Ghazvini, Mohammad Ali
    Lipari, Gianluca
    Pau, Marco
    Ponci, Ferdinanda
    Monti, Antonello
    Soares, Joao
    Castro, Rui
    Vale, Zita
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2019, 17
  • [7] Reactive Power Cost From PV Inverters Considering Inverter Lifetime Assessment
    Gandhi, Oktoviano
    Rodriguez-Gallegos, Carlos D.
    Gorla, Naga Brahmendra Yadav
    Bieri, Monika
    Reindl, Thomas
    Srinivasan, Dipti
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (02) : 738 - 747
  • [8] Robust Coordinated Optimization of Active and Reactive Power in Active Distribution Systems
    Gao, Hongjun
    Liu, Junyong
    Wang, Lingfeng
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) : 4436 - 4447
  • [9] A review on economic and technical operation of active distribution systems
    Ghadi, M. Jabbari
    Ghavidel, Sahand
    Rajabi, Amin
    Azizivahed, Ali
    Li, Li
    Zhang, Jiangfeng
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 104 : 38 - 53
  • [10] Grant S., 2016, CVX MATLAB SOFTWARE