• DocumentCode
    3578553
  • Title

    Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation

  • Author

    Wong Ling Ai ; Shareef, Hussain ; Ibrahim, Ahmad Asrul ; Mohamed, Azah

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2014
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    This paper presents the application of binary firefly algorithm (BFA) in obtaining the optimal location of battery energy storage systems (BESS) in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. The optimization process aims to obtain the optimal location by minimizing the voltage deviation of the PVDG bus. A BESS placement (BP) vector is used in deciding the location of BESS in each optimization and the optimization process is repeated in order to obtain the optimal BESS location. The effectiveness of the proposed method is validated by applying the algorithm to the 69-bus distribution system and the result shows that BFA is efficient in obtaining the optimal placement of BESS.
  • Keywords
    battery storage plants; distributed power generation; distribution networks; optimisation; photovoltaic power systems; 69-bus distribution system; BESS optimal location; BESS placement vector; BFA; BP vector; PVDG bus; battery energy storage systems; binary firefly algorithm; optimal battery placement; optimization process; photovoltaic generation integrated radial distribution network; photovoltaic-based distributed generation; voltage deviation minimization; voltage rise mitigation; voltage rise problem mitigation; Batteries; Conferences; Optimization; Photovoltaic systems; Power systems; Vectors; BFA; PVDG; optimal BESS placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-7296-8
  • Type

    conf

  • DOI
    10.1109/PECON.2014.7062432
  • Filename
    7062432