• DocumentCode
    622196
  • Title

    Optimizing size and operation of hybrid energy systems

  • Author

    Ghazvini, Mahram ; Abbaspour-Tehrani-Fard, Ali ; Fotuhi-Firuzabad, Mahmud ; Othman, M.M.

  • Author_Institution
    Center of Excellence in Power Syst. Manage. & Control, Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2013
  • fDate
    3-4 June 2013
  • Firstpage
    489
  • Lastpage
    494
  • Abstract
    This paper presents a new method to simultaneously optimize components´ size, set points of the control system and slope of PV panels of standalone hybrid energy systems (HESs) using the Passive Congregation PSO (PSOPC) approach. New control set points are defined for the HES, and a new operation strategy is presented based on the defined set points. The optimization algorithm determines the optimal values of the set points to efficiently optimize the HES operation. The effectiveness of the proposed control set points is finally verified through some numerical analyses. In this regard, the proposed optimization method is employed to optimize various HES configurations and compared with other methods using practical data of a remote area in Iran. Sensitivity analyses have been also conducted on the control set points and system uncertainties to investigate their impacts on the optimization results.
  • Keywords
    numerical analysis; particle swarm optimisation; photovoltaic power systems; power generation control; set theory; HES configurations; PSOPC; PV panels; control set points; hybrid energy systems; numerical analyses; operation optimization algorithm; particle swarm optimization; passive congregation PSO approach; size optimization algorithm; Sensitivity; Vectors; Hybrid energy system; optimal operation; particle swarm optimization; sensitivity analysis; unit-sizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-5072-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2013.6564598
  • Filename
    6564598