• DocumentCode
    2022410
  • Title

    Evaluation of the capacity credit of RES: The Greek case

  • Author

    Simoglou, Christos K. ; Biskas, Pandelis N. ; Bakirtzis, Emmanouil A. ; Matenli, Anneta N. ; Petridis, Athanasios I. ; Bakirtzis, Anastasios G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper addresses the evaluation of the capacity credit of RES plants in the Greek power system. Five different RES technologies are considered, namely wind, PV, small hydro, biomass, and cogeneration. The methodology adopted uses widely accepted power system reliability indices, such as the loss of load probability (LOLP) and the loss of load expectation (LOLE), computed using the capacity outage probability table (COPT). A three-step procedure for the calculation of the capacity credit for all RES technologies using the effective load carrying capability (ELCC) metric is implemented. Using real historic operational data of the Greek power system, the capacity credit of all RES technologies for the year 2011 are derived. Sensitivity results regarding the effect of the initial installed capacity and the new entrant capacity on the capacity credit are also presented.
  • Keywords
    cogeneration; hydroelectric power stations; photovoltaic power systems; power system reliability; probability; renewable energy sources; wind power plants; COPT; ELCC metric; Greek power system; LOLE; LOLP; RES capacity credit evaluation; RES plants; capacity outage probability table; effective load carrying capability; loss of load expectation; loss of load probability; power system reliability indices; Biomass; Cogeneration; Power system reliability; Production; Reliability; Thermal loading; Capacity credit; effective load carrying capability; forced outage rate; loss of load expectation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652340
  • Filename
    6652340