Coordinated scheduling model of power system with active distribution networks based on multi-agent system

被引:10
作者
Hu, Jingzhe [1 ]
Cong, Hao [1 ]
Jiang, Chuanwen [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
Multi-agent system; Active distribution network; Market clearing price (MCP); Coordinated scheduling; MULTIAREA ECONOMIC-DISPATCH; FLOW; DECOMPOSITION; IMPLEMENTATION; OPTIMIZATION;
D O I
10.1007/s40565-017-0327-7
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
With the large-scale development of distributed generations (DGs) and the connection into the main grid of active distribution networks (ADNs), traditional centralized dispatch of power system has encountered enormous challenge. In a bilateral electricity market, introducing ADN resources in the day-ahead generation schedule will not only enrich the dispatch patterns to the power system, but also reflect the initiative of ADNs. This paper proposes a coordinated scheduling model of power system with a plurality of ADNs based on multi-agent system where ADN agents are brought in the day-ahead market clearing. The process of market clearing and the dispatch of DGs in ADNs are independent with each other but linked together through the market clearing price (MCP) and bid volume. The optimal operating point of the whole system is achieved through multiple information exchange. In comparison with the dispatch without interaction between ADNs and the market operator (MO), the coordinated scheduling model is applied in a system with four ADNs to verify that the proposed method can improve the overall interests of ADNs. Finally, the effects of storage device and tie-line power limit are analyzed.
引用
收藏
页码:521 / 531
页数:11
相关论文
共 35 条
  • [1] Inter-utilities power-exchange coordination: A market-oriented approach
    Aguado, JA
    Quintana, VH
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (03) : 513 - 519
  • [2] A decentralized solution to the DC-OPF of interconnected power systems
    Bakirtzis, AG
    Biskas, PN
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) : 1007 - 1013
  • [3] Baldick R, 1999, IEEE T POWER SYST, V14, P858, DOI 10.1109/59.780896
  • [4] Teaching-learning-based optimization algorithm for multi-area economic dispatch
    Basu, M.
    [J]. ENERGY, 2014, 68 : 21 - 28
  • [5] Artificial bee colony optimization for multi-area economic dispatch
    Basu, M.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 49 : 181 - 187
  • [6] Optimized Bidding of a EV Aggregation Agent in the Electricity Market
    Bessa, Ricardo J.
    Matos, Manuel A.
    Soares, Filipe Joel
    Pecas Lopes, Joao A.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) : 443 - 452
  • [7] A decentralized implementation of DC optimal power flow on a network of computers
    Biskas, PN
    Bakirtzis, AG
    Macheras, NI
    Pasialis, NK
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) : 25 - 33
  • [8] Short-Term Scheduling and Control of Active Distribution Systems With High Penetration of Renewable Resources
    Borghetti, Alberto
    Bosetti, Mauro
    Grillo, Samuele
    Massucco, Stefano
    Nucci, Carlo Alberto
    Paolone, Mario
    Silvestro, Federico
    [J]. IEEE SYSTEMS JOURNAL, 2010, 4 (03): : 313 - 322
  • [9] A decomposition procedure based on approximate Newton directions
    Conejo, AJ
    Nogales, FJ
    Prieto, FJ
    [J]. MATHEMATICAL PROGRAMMING, 2002, 93 (03) : 495 - 515
  • [10] D'Adamo C, 2009, P EL DISTR 2009 CI 1