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Stochastic valuation of energy storage in wholesale power markets

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  • Yu, Nanpeng
  • Foggo, Brandon

Abstract

Energy storage systems are well poised to mitigate uncertainties of renewable generation outputs. Grid-scale energy storage projects are major investments which call for rigorous valuation and risk analysis. This paper provides a stochastic energy storage valuation framework in wholesale power markets which considers all key revenue streams simultaneously. As part of this framework, an operational optimization model is developed to determine the energy storage system's optimal dispatch sequences. A future curve model is built to capture the volatilities of electricity prices. In addition, a frequency regulation service price forecasting model is developed. Simulation results with a realistic battery storage system reveal that the majority of the market revenues comes from frequency regulation services. Simulation results also show that both round-trip efficiency and power-to-energy ratio are crucial to the cost effectiveness of energy storage systems.

Suggested Citation

  • Yu, Nanpeng & Foggo, Brandon, 2017. "Stochastic valuation of energy storage in wholesale power markets," Energy Economics, Elsevier, vol. 64(C), pages 177-185.
    • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:177-185
    DOI: 10.1016/j.eneco.2017.03.010
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    Cited by:

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    3. Antweiler, Werner, 2021. "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, vol. 101(C).
    4. Maluenda, Martín & Córdova, Samuel & Lorca, Álvaro & Negrete-Pincetic, Matías, 2023. "Optimal operation scheduling of a PV-BESS-Electrolyzer system for hydrogen production and frequency regulation," Applied Energy, Elsevier, vol. 344(C).
    5. David P. Brown & Andrew Eckert & Douglas Silveira, 2023. "Strategic interaction between wholesale and ancillary service markets," Competition and Regulation in Network Industries, , vol. 24(4), pages 174-198, December.
    6. Rodica Loisel & Corentin Simon, 2021. "Market strategies for large-scale energy storage: Vertical integration versus stand-alone player," Post-Print hal-04475995, HAL.
    7. Loisel, Rodica & Simon, Corentin, 2021. "Market strategies for large-scale energy storage: Vertical integration versus stand-alone player," Energy Policy, Elsevier, vol. 151(C).
    8. Côté, Elizabeth & Salm, Sarah, 2022. "Risk-adjusted preferences of utility companies and institutional investors for battery storage and green hydrogen investment," Energy Policy, Elsevier, vol. 163(C).
    9. de la Torre, S. & Aguado, J.A. & Sauma, E., 2023. "Optimal scheduling of ancillary services provided by an electric vehicle aggregator," Energy, Elsevier, vol. 265(C).
    10. He, Qiao-Chu & Yang, Yun & Bai, Lingquan & Zhang, Baosen, 2020. "Smart energy storage management via information systems design," Energy Economics, Elsevier, vol. 85(C).
    11. Tabari, Mokhtar & Shaffer, Blake, 2020. "Paying for performance: The role of policy in energy storage deployment," Energy Economics, Elsevier, vol. 92(C).
    12. Mercier, Thomas & Olivier, Mathieu & De Jaeger, Emmanuel, 2023. "The value of electricity storage arbitrage on day-ahead markets across Europe," Energy Economics, Elsevier, vol. 123(C).
    13. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).

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