Interactive optimization between active distribution network with multi-microgrids based on distributed algorithm

被引:7
|
作者
Li, Zhaoyu [1 ]
Wang, Hao [2 ]
Ai, Qian [1 ]
Zhang, Yufan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Key Lab Control Power Transmiss & Convers, Minist Educ, Shanghai 200240, Peoples R China
[2] Cisco Syst Inc, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-microgrids; Active distribution network; Interactive optimization; Distributed algorithm;
D O I
10.1016/j.egyr.2020.11.226
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
Interaction between microgrid (MG) and active distribution network (ADN) can effectively improve the operating economics and reliability of power system. A bi-level interactive optimization model for ADN with MGs is studied in this paper. The upper level is a multi-objective problem that minimizes both the operation cost and voltage deviation of each node. The lower level aims to minimize the operation cost of MG. The interaction between adjacent MGs ensures a relatively lower electricity price. To achieve a low-carbon system, carbon trading cost is also considered at both levels. And the model is decoupled into several subproblems and solved using a distributed method. Therefore, the privacy of each entity is ensured. The results prove the effectiveness of the proposed method. (C) 2020 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:385 / 391
页数:7
相关论文
共 50 条
  • [21] Active-reactive Power Robust Collaborative Optimization Strategy for Active Distribution System With Multi-microgrids Based on Back-to-back Converter Interconnection
    Zheng S.
    Liao K.
    Yang J.
    Zhang H.
    He Z.
    [J]. Dianwang Jishu/Power System Technology, 2023, 47 (12): : 5005 - 5014
  • [22] Interactive Energy Management for Enhancing Power Balances in Multi-Microgrids
    Yang, Xiaodong
    He, Haibo
    Zhang, Youbing
    Chen, Yu
    Weng, Guoqing
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (06) : 6055 - 6069
  • [23] Fully Distributed Dynamic Optimal Power Flow of Active Distribution Networks with Multi-microgrids Based on Cutting Plane Consensus Method and Ward Equivalent
    Dai, Yue
    Liu, Mingbo
    Tang, Chong
    Wang, Zhijun
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 1496 - 1503
  • [24] A multi-timescale schedule strategy for multi-microgrids: A distributed approach
    Li, Zhaoyu
    Ai, Qian
    Zhang, Yufan
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (09)
  • [25] Service restoration on distribution systems using Multi-MicroGrids
    Resende, F. O.
    Gil, N. J.
    Pecas Lopes, J. A.
    [J]. EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2011, 21 (02): : 1327 - 1342
  • [26] Modeling Cooperation of Multi-Microgrids in Smart Distribution Netowroks
    Moghaddam, M. Parsa
    Bahramara, S.
    Damavandi, M. Y.
    Haghifam, M. R.
    [J]. 2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), 2016, : 149 - 153
  • [27] Improvement of Frequency Control of Multi-Microgrids in Distribution Networks
    Kamalinia, Shahriar
    Rafiei, Saba
    Abedi, M.
    Naderi, M. S.
    Gharehpetian, Gevork B.
    [J]. 2021 11TH SMART GRID CONFERENCE (SGC), 2021, : 292 - 298
  • [28] Multi-Objective Jaya Algorithm for Optimal Scheduling of DGs in Distribution System Sectionalized into Multi-Microgrids
    Srinivasarathnam, C.
    Yammani, Chandrasekhar
    Maheswarapu, Sydulu
    [J]. SMART SCIENCE, 2019, 7 (01): : 59 - 78
  • [29] Optimal voltage regulation for distribution networks with multi-microgrids
    Wang, Xiaoxue
    Wang, Chengshan
    Xu, Tao
    Guo, Lingxu
    Li, Peng
    Yu, Li
    Meng, He
    [J]. APPLIED ENERGY, 2018, 210 : 1027 - 1036
  • [30] Transactive energy trading among multi-microgrids in a distribution network with fair loss sharing
    Elimam, Mohamed
    El Moursi, Mohamed Shawki
    EL-Fouly, Tarek H.M.
    Al-Durra, Ahmed
    Al Hosani, Khalifa Hassan
    [J]. Applied Energy, 2025, 381