• DocumentCode
    3393755
  • Title

    Optimal Phasor Measurement Unit Placement by an Improved PSO Algorithm

  • Author

    Wang, Jian-ming ; Li Chuandong ; Zhang, Jian

  • Author_Institution
    Power Syst. Dept., China Electr. Power Res. Inst., Beijing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an Improved PSO Algorithm (IPSO) to solve the problem of optimal Phasor Measurement Unit (PMU) placement. The aim of Optimal PMU Placement problem is to guarantee both full observability of the power grid and minimal number of PMU. In the Improved PSO Algorithm, the point of genetic algorithm and simulated annealing process is involved into basic particle swarm optimization. To deal with the constraints, an improved Algorithm is developed and it can avoid costing much time and trapping local optimal solution. IEEE systems are tested to show the feasibility and effectiveness of the algorithm.
  • Keywords
    genetic algorithms; particle swarm optimisation; phasor measurement; simulated annealing; IEEE systems; IPSO algorithm; genetic algorithm; improved PSO algorithm; optimal PMU placement problem; optimal phasor measurement unit placement; particle swarm optimization; power grid; simulated annealing process; Observability; Phasor measurement units; Power measurement; Power systems; Simulated annealing; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307398
  • Filename
    6307398