Investigation of Particle Swarm Optimization as Technique for Reactive Power Dispatch in Smart Grids

被引:0
|
作者
Pisica, Ioana [1 ]
Taylor, Gareth [1 ]
Traistaru, Sebastian [2 ]
机构
[1] Brunel Univ, Brunel Inst Power Syst, London, England
[2] Univ Politehn Bucuresti, Bucharest, Romania
关键词
particle swarm optimization; reactive power dispatch; smart grids;
D O I
暂无
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
This paper gives an overview of the Particle Swarm Optimization technique with the aim of investigating its applicability to minimizing losses in a power distribution system. The suitability of this method is investigated by emphasizing the impact of its intrinsic parameters on the results. The investigation employs particle swarm optimization on a test system by controlling the generator voltages, transformer taps and the reactive power in the capacitor banks for each load bus. In total it contains 33 control variables: 5 generators (not including the terminal bus), 4 transformers and 24 capacitor banks. A theoretical approach of the PSO is given in the beginning, followed by the simulation results and analyses.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization
    Polprasert, Jirawadee
    Ongsakul, Weerakorn
    Vo Ngoc Dieu
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2016, 44 (05) : 518 - 532
  • [42] An Improved particle swarm optimization algorithm for reactive power optimization
    Xie, Tuo
    Xie, Jiancang
    Zhang, Gang
    Liu, Yin
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 489 - 493
  • [43] An Improved Particle Swarm Optimization Algorithm for Reactive Power Optimization
    Li Ran
    Sheng Si-qing
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [44] Economic emission dispatch using an advanced particle swarm optimization technique
    Rezaie, Hamid
    Abedi, Mehrdad
    Rastegar, Saeed
    Rastegar, Hassan
    WORLD JOURNAL OF ENGINEERING, 2019, 16 (01) : 23 - 32
  • [45] Multiple objective particle swarm optimization technique for economic load dispatch
    Zhao B.
    Cao Y.-J.
    Journal of Zhejiang University-SCIENCE A, 2005, 6 (5): : 420 - 427
  • [46] Particle Swarm Optimization Technique for Solving Economic Emission Dispatch Problems
    Vennila, H.
    Prakash, T. Ruban Deva
    INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 : 2009 - 2021
  • [47] Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms
    Mehdinejad, Mehdi
    Mohammadi-Ivatloo, Behnam
    Dadashzadeh-Bonab, Reza
    Zare, Kazem
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 83 : 104 - 116
  • [48] Adaptive particle swarm for reactive power optimization in power systems
    Zhang, Wen
    Liu, Yutian
    Clerc, Maurice
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 2006, 14 (03): : 161 - 167
  • [49] Particle Swarm Optimization Applied to Reactive Power Compensation
    Costa, Valeria Nunes
    Monteiro, Maira R.
    de Souza, A. C. Zambroni
    PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP), 2016, : 780 - 785
  • [50] Economic Load Dispatch Problem using Particle Swarm Optimization Technique Considering Wind Power Penetration
    Al-Nahhal, Rana
    Naiem, A. F.
    Hegazy, Yasser G.
    2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), 2019,