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The Capacity Value of Wind in the United States: Methods and Implementation

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  • Milligan, Michael
  • Porter, Kevin

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  • Milligan, Michael & Porter, Kevin, 2006. "The Capacity Value of Wind in the United States: Methods and Implementation," The Electricity Journal, Elsevier, vol. 19(2), pages 91-99, March.
    • Handle: RePEc:eee:jelect:v:19:y:2006:i:2:p:91-99
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    Cited by:

    1. Chang-Gi Min & Mun-Kyeom Kim, 2017. "Net Load Carrying Capability of Generating Units in Power Systems," Energies, MDPI, vol. 10(8), pages 1-13, August.
    2. Mills, Andrew & Phadke, Amol & Wiser, Ryan, 2011. "Exploration of resource and transmission expansion decisions in the Western Renewable Energy Zone initiative," Energy Policy, Elsevier, vol. 39(3), pages 1732-1745, March.
    3. McPherson, Madeleine & Karney, Bryan, 2014. "Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector," Energy Policy, Elsevier, vol. 68(C), pages 146-157.
    4. Xu, Tingting & Gao, Weijun & Qian, Fanyue & Li, Yanxue, 2022. "The implementation limitation of variable renewable energies and its impacts on the public power grid," Energy, Elsevier, vol. 239(PA).
    5. Murphy, Sinnott & Lavin, Luke & Apt, Jay, 2020. "Resource adequacy implications of temperature-dependent electric generator availability," Applied Energy, Elsevier, vol. 262(C).
    6. Yu, Hsiang-Hua & Chang, Kuo-Hao & Hsu, Hsin-Wei & Cuckler, Robert, 2019. "A Monte Carlo simulation-based decision support system for reliability analysis of Taiwan’s power system: Framework and empirical study," Energy, Elsevier, vol. 178(C), pages 252-262.
    7. Pearre, Nathaniel & Adye, Katherine & Swan, Lukas, 2019. "Proportioning wind, solar, and in-stream tidal electricity generating capacity to co-optimize multiple grid integration metrics," Applied Energy, Elsevier, vol. 242(C), pages 69-77.
    8. Paik, Chunhyun & Chung, Yongjoo & Kim, Young Jin, 2021. "ELCC-based capacity credit estimation accounting for uncertainties in capacity factors and its application to solar power in Korea," Renewable Energy, Elsevier, vol. 164(C), pages 833-841.
    9. Handschy, Mark A. & Rose, Stephen & Apt, Jay, 2017. "Is it always windy somewhere? Occurrence of low-wind-power events over large areas," Renewable Energy, Elsevier, vol. 101(C), pages 1124-1130.
    10. Moisés Costa, Paulo & Matos, Manuel A., 2010. "Capacity credit of microgeneration and microgrids," Energy Policy, Elsevier, vol. 38(10), pages 6330-6337, October.
    11. Zhou, Ella & Cole, Wesley & Frew, Bethany, 2018. "Valuing variable renewable energy for peak demand requirements," Energy, Elsevier, vol. 165(PA), pages 499-511.
    12. 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.
    13. Hart, Elaine K. & Jacobson, Mark Z., 2011. "A Monte Carlo approach to generator portfolio planning and carbon emissions assessments of systems with large penetrations of variable renewables," Renewable Energy, Elsevier, vol. 36(8), pages 2278-2286.
    14. Siripha Junlakarn & Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation," Energies, MDPI, vol. 15(14), pages 1-27, July.

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