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An analytical formula for the capacity credit of wind power

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  • Voorspools, Kris R.
  • D'haeseleer, William D.

Abstract

The capacity credit of wind power expresses how much ‘conventional’ power can be avoided or replaced by wind power. From data available in the literature, we have designed an analytical formula for the capacity credit based on the penetration level of the wind power in the power system, the overall capacity factor or annual use of the wind turbines, the reliability of the conventional part of the power system and the spread of the wind turbines. The resulting analytical formula avoids the use of elaborate stochastic reliability evaluations in providing a quick estimate of the capacity credit.

Suggested Citation

  • Voorspools, Kris R. & D'haeseleer, William D., 2006. "An analytical formula for the capacity credit of wind power," Renewable Energy, Elsevier, vol. 31(1), pages 45-54.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:1:p:45-54
    DOI: 10.1016/j.renene.2005.03.017
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    References listed on IDEAS

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    1. Brower, Michael C. & Tennis, Michael W., 1995. "Catching a steady breeze: Putting wind power to work on electric utility systems," The Electricity Journal, Elsevier, vol. 8(2), pages 32-41, March.
    2. El-Sayed, Mohamed A. H., 2002. "Substitution potential of wind energy in Egypt," Energy Policy, Elsevier, vol. 30(8), pages 681-687, June.
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    Cited by:

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    2. Nguyen, Christy & Ma, Chunbo & Hailu, Atakelty & Chalak, Morteza, 2016. "Factors influencing calculation of capacity value of wind power: A case study of the Australian National Electricity Market (NEM)," Renewable Energy, Elsevier, vol. 90(C), pages 319-328.
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    8. Wilton, Edgar & Delarue, Erik & D’haeseleer, William & van Sark, Wilfried, 2014. "Reconsidering the capacity credit of wind power: Application of cumulative prospect theory," Renewable Energy, Elsevier, vol. 68(C), pages 752-760.
    9. Cuervo, Felipe Isaza & Botero, Sergio Botero, 2016. "Wind power reliability valuation in a Hydro-Dominated power market: The Colombian case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1359-1372.
    10. Hawkes, A.D. & Leach, M.A., 2008. "The capacity credit of micro-combined heat and power," Energy Policy, Elsevier, vol. 36(4), pages 1457-1469, April.
    11. Gurgur, Cigdem Z. & Jones, Michael, 2010. "Capacity factor prediction and planning in the wind power generation industry," Renewable Energy, Elsevier, vol. 35(12), pages 2761-2766.
    12. Palmer-Wilson, Kevin & Donald, James & Robertson, Bryson & Lyseng, Benjamin & Keller, Victor & Fowler, McKenzie & Wade, Cameron & Scholtysik, Sven & Wild, Peter & Rowe, Andrew, 2019. "Impact of land requirements on electricity system decarbonisation pathways," Energy Policy, Elsevier, vol. 129(C), pages 193-205.
    13. Yáñez, Juan Pablo & Kunith, Alexander & Chávez-Arroyo, Roberto & Romo-Perea, Alejandro & Probst, Oliver, 2014. "Assessment of the capacity credit of wind power in Mexico," Renewable Energy, Elsevier, vol. 72(C), pages 62-78.
    14. Reichenberg, Lina & Hedenus, Fredrik & Odenberger, Mikael & Johnsson, Filip, 2018. "Tailoring large-scale electricity production from variable renewable energy sources to accommodate baseload generation in europe," Renewable Energy, Elsevier, vol. 129(PA), pages 334-346.
    15. Chaiamarit, Kunjana & Nuchprayoon, Somboon, 2013. "Modeling of renewable energy resources for generation reliability evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 34-41.
    16. G. Cornelis van Kooten, 2016. "Wind versus Nuclear Options for Generating Electricity in a Carbon Constrained World: Proceedings of the CSME International Congress 2016," Working Papers 2016-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    17. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    18. George, Mel & Banerjee, Rangan, 2009. "Analysis of impacts of wind integration in the Tamil Nadu grid," Energy Policy, Elsevier, vol. 37(9), pages 3693-3700, September.
    19. Mosadeghy, Mehdi & Yan, Ruifeng & Saha, Tapan Kumar, 2016. "Impact of PV penetration level on the capacity value of South Australian wind farms," Renewable Energy, Elsevier, vol. 85(C), pages 1135-1142.
    20. Welsch, Manuel & Deane, Paul & Howells, Mark & Ó Gallachóir, Brian & Rogan, Fionn & Bazilian, Morgan & Rogner, Hans-Holger, 2014. "Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland," Applied Energy, Elsevier, vol. 135(C), pages 600-615.
    21. Chen, Tao & Pipattanasomporn, Manisa & Rahman, Imran & Jing, Zejia & Rahman, Saifur, 2020. "MATPLAN: A probability-based planning tool for cost-effective grid integration of renewable energy," Renewable Energy, Elsevier, vol. 156(C), pages 1089-1099.
    22. Mastropietro, Paolo & Rodilla, Pablo & Batlle, Carlos, 2019. "De-rating of wind and solar resources in capacity mechanisms: A review of international experiences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 253-262.
    23. Mason, I.G. & Page, S.C. & Williamson, A.G., 2010. "A 100% renewable electricity generation system for New Zealand utilising hydro, wind, geothermal and biomass resources," Energy Policy, Elsevier, vol. 38(8), pages 3973-3984, August.

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