• DocumentCode
    50532
  • Title

    An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems

  • Author

    Nekooei, K. ; Farsangi, Malihe Maghfoori ; Nezamabadi-pour, Hossein ; Lee, Khuan Y.

  • Author_Institution
    Kerman Univ., Kerman, Iran
  • Volume
    4
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    557
  • Lastpage
    567
  • Abstract
    In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG placement and sizing for an optimal development of the distribution system. In this study, the optimum sizes and locations of DG units are found by considering the power losses and voltage profile as objective functions. The feasibility of the proposed technique is demonstrated in two distribution networks, where the qualitative comparisons are made against a well-known technique, known as Non-dominated Sorting Genetic Algorithm II (NSGA-II). Furthermore, the results obtained are compared with those available in the literature.
  • Keywords
    distributed power generation; genetic algorithms; power distribution planning; DG optimal placement; DG unit location; IMOHS algorithm; NSGA-II; distributed generators; distribution networks; distribution system optimal development; improved multiobjective HS algorithm; improved multiobjective harmony search algorithm; multiple-objective planning framework; nondominated sorting genetic algorithm II; optimum sizes; power loss; radial distribution systems; voltage profile; Linear programming; Measurement; Optimization; Search problems; Sociology; Statistics; Vectors; Distributed generation; harmony search algorithm; multi-objective optimization;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2237420
  • Filename
    6459001