• DocumentCode
    2967894
  • Title

    Maximum loadability limit of power systems using different particle swarm optimization techniques

  • Author

    Acharjee, P. ; Indira, A. ; Mandal, S. ; Thakur, S.S.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Durgapur, India
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1573
  • Lastpage
    1577
  • Abstract
    The efficient method to assess the static voltage stability is maximum loadability limit (MLL). Loadability problem is formulated as an optimization problem considering both equality and inequality constraints. Three particle swarm optimization (PSO) techniques namely general PSO, Adaptive PSO (APSO) and Chaotic PSO (CPSO) are developed to obtain maximum loadability limit under voltage limits and reactive power generation limits. In APSO method, PSO-parameters are made adaptive with the problem and chaos is incorporated in CPSO method to obtain faster & reliable convergence. All methods are applied on standard IEEE 14 bus, 30 bus & 57 bus test systems to show their effectiveness & efficiencies.
  • Keywords
    chaos; particle swarm optimisation; power station load; power system stability; IEEE 14 bus test; IEEE 30 bus test; IEEE 57 bus test; MLL; PSO-parameters; adaptive pso; chaotic pso; general PSO; particle swarm optimization techniques; power system maximum loadability limit; reactive power generation limits; static voltage stability; Chaos; Constraint optimization; Convergence; Particle swarm optimization; Power generation; Power system reliability; Power system stability; Power systems; Reactive power; Voltage; Adaptive particle swarm optimization; chaotic particle swarm optimization; maximum loadability limit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373101
  • Filename
    5373101