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
  • [21] Optimal Reactive Power Dispatch by Pseudo-Gradient Guided Particle Swarm Optimization
    Dung Anh Le
    Dieu Ngoc Vo
    2012 CONFERENCE ON POWER & ENERGY - IPEC, 2012, : 7 - 12
  • [22] A multiagent-based particle swarm optimization approach for optimal reactive power dispatch
    Zhao, B
    Guo, CX
    Cao, YJ
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) : 1070 - 1078
  • [23] Optimal Power Dispatch using Particle Swarm Optimization
    Jobanputra, Jalpa
    Kotwal, Chetan
    2018 INTERNATIONAL CONFERENCE ON SMART ELECTRIC DRIVES AND POWER SYSTEM (ICSEDPS), 2018, : 157 - 161
  • [24] Power Economic Dispatch Using Particle Swarm Optimization
    Iqbal, H. M. Zahid
    Ashraf, A.
    Ahmad, A.
    2015 POWER GENERATION SYSTEMS AND RENEWABLE ENERGY TECHNOLOGIES (PGSRET-2015), 2015, : 198 - 204
  • [25] Dispatch of Distributed Energy Resources to Provide Energy and Reserve in Smart Grids using a Particle Swarm Optimization Approach
    Faria, Pedro
    Soares, Tiago
    Pinto, Tiago
    Sousa, Tiago M.
    Soares, Joao
    Vale, Zita
    Morais, Hugo
    2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE APPLICATIONS IN SMART GRID (CIASG), 2013, : 51 - 58
  • [26] Comparison of Multiobjective Particle Swarm Optimization and Evolutionary Algorithms for Optimal Reactive Power Dispatch Problem
    Zeng, Yujiao
    Sun, Yanguang
    2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 258 - 265
  • [27] Optimal reactive power dispatch based on modified particle swarm optimization considering voltage stability
    Cai, Guanglin
    Ren, Zhen
    Yu, Tao
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 3836 - 3840
  • [28] Optimal reactive power dispatch using particle swarm optimization algorithm for Yangon distribution network
    Htay, Tin Tin
    Mon, Khine Khine
    Lin, Ohn Zin
    INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2019, 2020, 463
  • [29] Application of hybrid multiagent-based particle swarm optimization to optimal reactive power dispatch
    Shunmugalatha, A.
    Slochanal, S. Mary Raja
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2008, 36 (08) : 788 - 800
  • [30] A Vehicle-to-Grid Based Reactive Power Dispatch Approach Using Particle Swarm Optimization
    Zhang, Wenjie
    Das, Pritam
    Srinivasan, Dipti
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 4413 - 4420