• DocumentCode
    48171
  • Title

    Comparing Capacity Value Estimation Techniques for Photovoltaic Solar Power

  • Author

    Madaeni, Seyed Hossein ; Sioshansi, Ramteen ; Denholm, Paul

  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    407
  • Lastpage
    415
  • Abstract
    In this paper, we estimate the capacity value of photovoltaic (PV) solar plants in the western U.S. Our results show that PV plants have capacity values that range between 52% and 93%, depending on location and sun-tracking capability. We further compare more robust but data- and computationally-intense reliability-based estimation techniques with simpler approximation methods. We show that if implemented properly, these techniques provide accurate approximations of reliability-based methods. Overall, methods that are based on the weighted capacity factor of the plant provide the most accurate estimate. We also examine the sensitivity of PV capacity value to the inclusion of sun-tracking systems.
  • Keywords
    power generation reliability; solar power stations; PV capacity value; PV plants; approximation methods; capacity value estimation techniques; computationally-intense reliability-based estimation techniques; photovoltaic solar plants; photovoltaic solar power; reliability-based methods; sun-tracking capability; sun-tracking systems; Approximation methods; Benchmark testing; Generators; Photovoltaic systems; Power system reliability; Reliability; Urban areas; Approximation techniques; capacity value; photovoltaic (PV) solar; reliability theory;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2012.2217114
  • Filename
    6316048