• DocumentCode
    3569286
  • Title

    PSO based controller algorithm for optimal allocation & setting of fuel cell in a wind — PV integrated power system for maximizing loadability

  • Author

    Joseph, Sebin ; Skariah, Emil Ninan ; Joseph, Tibin ; Sreedharan, Sasidharan ; Chittesh, V.C. ; Das, P. Vipin ; Vishnu, J.

  • Author_Institution
    SAINTGITS Coll. of Eng., Kottayam, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Distributed Generators are gaining widespread applications around the world to facilitate the need for expanding generation capacity to meet the increasing load demand. However the integration and high penetration of distributed generations into the power system poses many issues that need to be addressed carefully. The main limiting factors for synchronous operation of distributed generators are voltage and angle instability and grid control authorities are limiting the distributed generator penetration level for maintaining grid stability. This paper attempts to identify the maximum safe system loading, with the integration of distributed generators, by the optimization of grid parameters. In this paper, optimal placement & setting of distributed energy resources (DER) is formulated so as to maximize the system loadability using PSO. The impact of optimal integration using PSO algorithm has been analyzed by studying different system parameters like voltage profile, line flows and real power generation. The application of the scheme is illustrated on a standard IEEE 14-bus system and 220 kV Kerala Grid Practical test system using Newton Raphson power flow method and modal analysis. Results presents the maximum system loadability in percentage, optimal location and setting of distributed energy resources, maximum safe bus loading beyond which system becomes unstable.
  • Keywords
    IEEE standards; Newton-Raphson method; distributed power generation; fuel cells; hybrid power systems; load flow control; modal analysis; particle swarm optimisation; photovoltaic power systems; power generation control; power grids; power system stability; wind power plants; DER optimal placement; IEEE 14-bus system; Kerala Grid Practical test system; Newton Raphson power flow method; PSO based controller algorithm; distributed energy resource optimal placement; distributed generation penetration; distributed generator; fuel cell optimal allocation; grid control authority; grid stability maintainance; loadability maximization; modal analysis; particle swarm optimization; voltage 220 kV; wind-pv integrated power system; Fuel cells; Generators; Load flow; Loading; Power system stability; Stability criteria; Distributed Generation (DG); Optimization; PSO; Power System; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Green Energy (ICAGE), 2014 International Conference on
  • Print_ISBN
    978-1-4799-8049-9
  • Type

    conf

  • DOI
    10.1109/ICAGE.2014.7050135
  • Filename
    7050135