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Reliability-constrained hydropower valuation

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  • Ware, Antony

Abstract

Maximizing the long-term value of hydropower generation requires management of uncertain reservoir inflows, potentially variable constraints on outflows, and exposure to possibly wildly varying power prices. We describe a stochastic dynamic programming approach to the quantification of reservoir reliability (for example, measures of the risk of over-topping the reservoir or failing to satisfy downstream flow requirements) and a related approach to determining the reservoir flow strategy that maximizes expected revenue, subject to defined target reliability levels.

Suggested Citation

  • Ware, Antony, 2018. "Reliability-constrained hydropower valuation," Energy Policy, Elsevier, vol. 118(C), pages 633-641.
    • Handle: RePEc:eee:enepol:v:118:y:2018:i:c:p:633-641
    DOI: 10.1016/j.enpol.2018.03.053
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    References listed on IDEAS

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    1. Fang, Fang & Oosterlee, Kees, 2008. "A Novel Pricing Method For European Options Based On Fourier-Cosine Series Expansions," MPRA Paper 9319, University Library of Munich, Germany.
    2. Zhao, Guangzhi & Davison, Matt, 2009. "Optimal control of hydroelectric facility incorporating pump storage," Renewable Energy, Elsevier, vol. 34(4), pages 1064-1077.
    3. E. Nasakkala & J. Keppo, 2008. "Hydropower with Financial Information," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(5-6), pages 503-529.
    4. Rene Carmona & Michael Ludkovski, 2010. "Valuation of energy storage: an optimal switching approach," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 359-374.
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    Cited by:

    1. Mengfei Xie & Suzhen Feng & Jinwen Wang & Maolin Zhang & Cheng Chen, 2022. "Impacts of Yield and Seasonal Prices on the Operation of Lancang Cascaded Reservoirs," Energies, MDPI, vol. 15(9), pages 1-11, April.

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