• DocumentCode
    110934
  • Title

    Optimal distributed generation placement in shunt capacitor compensated distribution systems considering voltage sag and harmonics distortions

  • Author

    Biswas, Santosh ; Goswami, Swapan Kumar ; Chatterjee, Avhishek

  • Author_Institution
    Dept. of Electr. Eng., JIS Coll. of Eng., Kalyani, India
  • Volume
    8
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    783
  • Lastpage
    797
  • Abstract
    The present study proposes a method of solving the distributed generations (DGs) placement problem by considering multiple aspects of a power system operation. In addition to the commonly considered objectives of reduction of the loss and improvement of the voltage profile, this study has optimised other power quality related objectives such as minimisation of the voltage sag and harmonic distortion. A new formulation of a composite, constrained objective function is put forward by considering objectives such as the cost of the power losses, the cost of the DGs and the cost of loss of load because of the voltage sag and the constraints such as line flow limits, number/size of the installed DGs and the power quality limits of the standard IEEE-519. The system under consideration is a complex one consisting of both linear and non-linear loads as well as the power factor correcting capacitors. The effect of the non-linear harmonic generating loads and the compensating capacitors on the penetration of the DGs in the distribution system is investigated. This optimisation problem is solved for several distribution systems by using several metaheuristic optimisation techniques. However, detailed results are presented on a benchmark IEEE 33 bus radial distribution system using genetic algorithm to demonstrate the effectiveness of the proposed method. A comparative performance analysis of various metaheuristic optimisation techniques is also presented to show the applicability of different optimisation techniques in solving the proposed optimisation problem.
  • Keywords
    distributed power generation; genetic algorithms; power capacitors; power distribution planning; power factor correction; power generation planning; power supply quality; power system harmonics; IEEE 33 bus radial distribution system; genetic algorithm; harmonics distortion; line flow limits; metaheuristic optimisation technique; nonlinear load; optimal distributed generation placement; optimisation problem; power factor correcting capacitors; power quality; shunt capacitor compensated distribution systems; voltage profile; voltage sag;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2013.0423
  • Filename
    6812258