• DocumentCode
    512898
  • Title

    Optimal sizing of a hydrogen-based wind/PV plant considering reliability indices

  • Author

    Dehghan, S. ; Saboori, H. ; Parizad, A. ; Kiani, B.

  • Author_Institution
    Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The utilization of renewable energy sources in electric power systems is increasing quickly because of public apprehensions for unpleasant environmental impacts and increase in the energy costs involved with the use of conventional energy sources. Despite the application of these energy sources can considerably diminish the system fuel costs, they can also have significant influence on the system reliability. Therefore an appropriate combination of the system reliability indices level and capital investment costs of system is vital. This paper presents a hybrid wind/photovoltaic plant intertwined with a hydrogen-based energy storage system supplying IEEE reliability test system load pattern while the plant capital investment costs is minimized by applying a hybrid particle swarm optimization (PSO) / harmony search (HS) approach, and the system fulfills the appropriate level of reliability.
  • Keywords
    hydrogen storage; particle swarm optimisation; photovoltaic power systems; power system reliability; wind power plants; IEEE reliability test system; electric power systems; harmony search; hybrid particle swarm optimization; hydrogen-based energy storage system; hydrogen-based wind-PV plant; load pattern; optimal sizing; reliability indices; renewable energy sources; system reliability; Cost function; Energy storage; Fuels; Investments; Particle swarm optimization; Photovoltaic systems; Power system reliability; Renewable energy resources; Solar power generation; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conversion Systems, 2009. EPECS '09. International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-5477-8
  • Type

    conf

  • Filename
    5415739