• DocumentCode
    3105433
  • Title

    A particle swarm optimization for sitting and sizing of Distributed Generation in distribution network to improve voltage profile and reduce THD and losses

  • Author

    Beromi, Y. Alinejad ; Sedighizadeh, M. ; Sadighi, M.

  • Author_Institution
    Eng. Dept., Univ. of Semnan, Semnan
  • fYear
    2008
  • fDate
    1-4 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a method for optimal sitting and sizing of distributed generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction, and THD (total harmonic distortion) reduction in distribution networks. Particle swarm optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently.
  • Keywords
    distributed power generation; distribution networks; load flow; particle swarm optimisation; power system harmonics; PSO; THD reduction; computation efficiency; decision-making; distributed generation; distribution network; harmonics calculation; load flow; losses; particle swarm optimization; total harmonic distortion; Capacity planning; Computer networks; Costs; Distributed computing; Distributed control; Minimization; Particle swarm optimization; Technology planning; Total harmonic distortion; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
  • Conference_Location
    Padova
  • Print_ISBN
    978-1-4244-3294-3
  • Electronic_ISBN
    978-88-89884-09-6
  • Type

    conf

  • DOI
    10.1109/UPEC.2008.4651544
  • Filename
    4651544