• DocumentCode
    155868
  • Title

    Optimal allocation of multiple DG units in radial distribution system using modified differential evolution technique

  • Author

    Kumar, Sudhakar ; Mandal, D. Pal K. K. ; Chakraborty, Nilanjan

  • Author_Institution
    Power Eng. Dept., Jadavpur Univ., Kolkata, India
  • fYear
    2014
  • fDate
    Jan. 31 2014-Feb. 2 2014
  • Firstpage
    379
  • Lastpage
    383
  • Abstract
    Integration of Distributed Generation (DG) units with the conventional radial distribution system provides several advantages. Reduction in power loss, improvement in voltage profile and increasing the reliability are the most important advantages which can be achieved by installing multiple DG units of optimal sizes at optimal locations in the distribution system. The main objective of this analysis is to minimize the total losses in the system. In the optimal allocation of DG units, the number of decisive variable parameters increases with increase in number of DG units and hence the chance of premature convergence of the objective function also increases. In this paper, a new modified differential evolution (MDE) technique is proposed to determine the optimal placement and size of multiple DG units to avoid the premature convergence. The proposed algorithm is applied on IEEE-33 bus radial distribution system to verify its effectiveness. The results obtained by the proposed method are also compared with other methods. It is found that the results obtained by the proposed algorithm are superior in terms of loss reduction and voltage profile improvement.
  • Keywords
    distributed power generation; distribution networks; evolutionary computation; IEEE-33 bus radial distribution system; MDE technique; distributed generation; loss reduction; modified differential evolution technique; multiple DG units allocation; objective function; voltage profile improvement; Convergence; Distributed power generation; Instruments; Load flow; Optimization; Resource management; Vectors; distributed generation; modified differential evolution; optimal placement; optimal size; voltage profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
  • Conference_Location
    Calcutta
  • Type

    conf

  • DOI
    10.1109/CIEC.2014.6959114
  • Filename
    6959114