• DocumentCode
    249167
  • Title

    Comparative analysis of particle swarm optimization variants on distributed generation allocation for network loss minimization

  • Author

    Kumar, Tanesh ; Thakur, Tripta

  • Author_Institution
    Electr. Eng. Dept., MANIT, Bhopal, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    167
  • Lastpage
    171
  • Abstract
    Increase in installation and integration of various small scale power generation technologies into the electrical grid has directed the attention of many researchers to the impact these sources can have on the performance of grid. Optimal location and sizing reduces network losses and also contributes to voltage profile improvement. This paper presents a comparative analysis of three Particle swarm optimization (PSO) technique variants for the optimal location and sizing of a single Distributed generation (DG) unit in a modified IEEE 16 bus system to minimize total active power losses occurring in the system. The DG has been modeled as a generator bus with three different inertia weight strategies of PSO and effects on the network losses and the voltage profile has been presented.
  • Keywords
    electric generators; electric power generation; particle swarm optimisation; power distribution; power grids; DG unit; PSO technique; distributed generation allocation; electrical grid; generator bus; grid performance; inertia weight strategies; modified IEEE 16 bus system; network loss minimization; network losses; particle swarm optimization variants; power generation technologies; single distributed generation unit; total active power loss minimization; voltage profile improvement; Distributed power generation; Genetic algorithms; Optimization; Particle swarm optimization; Propagation losses; Resource management; Distributed Generation; Linearly Varying Inertia weight; Optimal sizing; Particle swarm optimization variants; Power loss reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906682
  • Filename
    6906682