A review of optimal power flow studies applied to smart grids and microgrids

被引:162
作者
Abdi, Hamdi [1 ]
Beigvand, Soheil Derafshi [1 ]
La Scala, Massimo [2 ]
机构
[1] Razi Univ, Fac Engn, Dept Elect Engn, Kermanshah, Iran
[2] Politecn Bari, Elect & Elect Engn Dept, I-70125 Bari, Italy
关键词
Optimal power flow; Optimization problem; Smart grid; Smart microgrid; ENERGY MANAGEMENT-SYSTEM; OF-THE-ART; DEMAND RESPONSE; OPERATION MANAGEMENT; RENEWABLE ENERGY; ISLANDED MICROGRIDS; ELECTRICITY MARKETS; ROBUST OPTIMIZATION; MULTIAGENT SYSTEMS; ECONOMIC-DISPATCH;
D O I
10.1016/j.rser.2016.12.102
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The term smart grid refers to a modernization of the electrical network consisting in the integration of various technologies such as dispersed generation, dispatchable loads, communication systems and storage devices which operates in grid-connected and islanded modes. As a result, traditional optimization techniques in new power systems have been seriously influenced during the last decade. One of the most important technical and economical tools in this regard is the Optimal Power Flow (OPF). As a fundamental optimization tool in the operation and planning fields, OPF has an undeniable role in the power system. This paper reviews and compares the OPF approaches mainly related to smart distribution grids. In this work, the main OPF approaches are compared in terms of their objective functions, constraints, and methodologies. Furthermore, computational performances, case study networks and the publication date of these methods are reported. Finally, some basic challenges arising from the new OPF methodologies in smart grids are addressed.
引用
收藏
页码:742 / 766
页数:25
相关论文
共 276 条
  • [1] Multiobjective evolutionary algorithms for electric power dispatch problem
    Abido, M. A.
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) : 315 - 329
  • [2] A comprehensive review on uncertainty modeling techniques in power system studies
    Aien, Morteza
    Hajebrahimi, Ali
    Fotuhi-Firuzabad, Mahmud
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 57 : 1077 - 1089
  • [3] Linear approximated formulation of AC optimal power flow using binary discretisation
    Akbari, Tohid
    Bina, Mohammad Tavakoli
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (05) : 1117 - 1123
  • [4] Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method
    Alavi, Seyed Arash
    Ahmadian, Ali
    Aliakbar-Golkar, Masoud
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 95 : 314 - 325
  • [5] Albadi AH, 2007, IEEE POWER ENG SOC, P1665
  • [6] Probabilistic Multistage PMU Placement in Electric Power Systems
    Aminifar, Farrokh
    Fotuhi-Firuzabad, Mahmud
    Shahidehpour, Mohammad
    Khodaei, Amin
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (02) : 841 - 849
  • [7] [Anonymous], 2012, POWER GRID NETWORK E
  • [8] [Anonymous], P 36 ANN HAW INT C S
  • [9] [Anonymous], POW SYST SIM ENG
  • [10] [Anonymous], N AM POW S