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Optimal trading of imbalance options for power systems using an energy storage device

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  • Szabó, Dávid Zoltán
  • Duck, Peter
  • Johnson, Paul

Abstract

Energy storage devices are coming online in electricity markets around the world but are still considered an expensive solution to the load balancing problem. We propose a new market framework in which the owner of an electricity storage facility is able to optimally sell options and trade in the electricity market to add flexibility for the system operator at different times of the day. The storage operator has the possibility to optimally decide which option to offer, with the restriction of having the storage device in the appropriate mode and only at particular times. The system operator accepts these offers as possible long-term real-time balancing resorts. With the storage device in place, either electricity consumption or generated electricity can be increased in the network and in our framework this happens accordingly via the exercise of the corresponding option.

Suggested Citation

  • Szabó, Dávid Zoltán & Duck, Peter & Johnson, Paul, 2020. "Optimal trading of imbalance options for power systems using an energy storage device," European Journal of Operational Research, Elsevier, vol. 285(1), pages 3-22.
  • Handle: RePEc:eee:ejores:v:285:y:2020:i:1:p:3-22
    DOI: 10.1016/j.ejor.2018.09.037
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    References listed on IDEAS

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    1. Moriarty, John & Palczewski, Jan, 2017. "Real option valuation for reserve capacity," European Journal of Operational Research, Elsevier, vol. 257(1), pages 251-260.
    2. Matt Thompson & Matt Davison & Henning Rasmussen, 2009. "Natural gas storage valuation and optimization: A real options application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(3), pages 226-238, April.
    3. Christensen, Sören, 2014. "On the solution of general impulse control problems using superharmonic functions," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 709-729.
    4. Alvaro Cartea & Marcelo Figueroa, 2005. "Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(4), pages 313-335.
    5. , & Meyn, Sean P., 2010. "Efficiency and marginal cost pricing in dynamic competitive markets with friction," Theoretical Economics, Econometric Society, vol. 5(2), May.
    6. Hahn, Heiko & Meyer-Nieberg, Silja & Pickl, Stefan, 2009. "Electric load forecasting methods: Tools for decision making," European Journal of Operational Research, Elsevier, vol. 199(3), pages 902-907, December.
    7. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    8. Tsitsiklis, John N. & Xu, Yunjian, 2015. "Pricing of fluctuations in electricity markets," European Journal of Operational Research, Elsevier, vol. 246(1), pages 199-208.
    9. Boomsma, Trine Krogh & Meade, Nigel & Fleten, Stein-Erik, 2012. "Renewable energy investments under different support schemes: A real options approach," European Journal of Operational Research, Elsevier, vol. 220(1), pages 225-237.
    10. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    11. Rene Carmona & Michael Ludkovski, 2010. "Valuation of energy storage: an optimal switching approach," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 359-374.
    12. Kyriakopoulos, Grigorios L. & Arabatzis, Garyfallos, 2016. "Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1044-1067.
    13. Pflug, Georg C. & Broussev, Nikola, 2009. "Electricity swing options: Behavioral models and pricing," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1041-1050, September.
    14. Ramteen Sioshansi, 2010. "Welfare Impacts of Electricity Storage and the Implications of Ownership Structure," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 173-198.
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    Cited by:

    1. Alexander, Carol & Chen, Xi & Ward, Charles, 2021. "Risk-adjusted valuation for real option decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1046-1064.
    2. Di Liu & Junwei Cao & Mingshuang Liu, 2022. "Joint Optimization of Energy Storage Sharing and Demand Response in Microgrid Considering Multiple Uncertainties," Energies, MDPI, vol. 15(9), pages 1-20, April.
    3. Nadarajah, Selvaprabu & Secomandi, Nicola, 2023. "A review of the operations literature on real options in energy," European Journal of Operational Research, Elsevier, vol. 309(2), pages 469-487.

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