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Utility-scale energy storage in an imperfectly competitive power sector

Author

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  • Virasjoki, Vilma
  • Siddiqui, Afzal S.
  • Oliveira, Fabricio
  • Salo, Ahti

Abstract

Interest in sustainability has increased the share of variable renewable energy sources (VRES) in power generation. Energy storage systems' potential to mitigate intermittencies from non-dispatchable VRES has enhanced their appeal. However, the impacts of storage vary based on the owner and market conditions. We examine the policy implications of investments in utility-scale battery storage via a bi-level optimization model. The lower level depicts power system operations, modeled as either perfect competition or Cournot oligopoly to allow for the assessment of producer market power. The upper-level investor is either a welfare-maximizer or a profit-maximizing standalone merchant to reflect either welfare enhancement or arbitrage, respectively. We implement a realistic case study for Western Europe based on all possible size-location storage investment combinations. We find that market competition affects investment sizes, locations, and their profitability more than the investor's objectives. A welfare-maximizer under perfect competition invests the most in storage capacity. Consumers typically gain most from storage investments in all cases, exceeding the gains for the investors. Specifically, our results show that storage investments may either not occur or be located differently than at social optimum, if market power is exerted. Thus, policy makers need to anticipate producer market power when setting regulation.

Suggested Citation

  • Virasjoki, Vilma & Siddiqui, Afzal S. & Oliveira, Fabricio & Salo, Ahti, 2020. "Utility-scale energy storage in an imperfectly competitive power sector," Energy Economics, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:eneeco:v:88:y:2020:i:c:s0140988320300554
    DOI: 10.1016/j.eneco.2020.104716
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    References listed on IDEAS

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    1. Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
    2. Reichenberg, Lina & Siddiqui, Afzal S. & Wogrin, Sonja, 2018. "Policy implications of downscaling the time dimension in power system planning models to represent variability in renewable output," Energy, Elsevier, vol. 159(C), pages 870-877.
    3. Gabriel, Steven A. & Leuthold, Florian U., 2010. "Solving discretely-constrained MPEC problems with applications in electric power markets," Energy Economics, Elsevier, vol. 32(1), pages 3-14, January.
    4. Huppmann, Daniel & Egerer, Jonas, 2015. "National-strategic investment in European power transmission capacity," European Journal of Operational Research, Elsevier, vol. 247(1), pages 191-203.
    5. Afzal S. Siddiqui, Ramteen Sioshansi, and Antonio J. Conejo, 2019. "Merchant Storage Investment in a Restructured Electricity Industry," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Neuhoff, Karsten & Barquin, Julian & Boots, Maroeska G. & Ehrenmann, Andreas & Hobbs, Benjamin F. & Rijkers, Fieke A.M. & Vazquez, Miguel, 2005. "Network-constrained Cournot models of liberalized electricity markets: the devil is in the details," Energy Economics, Elsevier, vol. 27(3), pages 495-525, May.
    7. Wolf-Peter Schill & Claudia Kemfert, 2011. "Modeling Strategic Electricity Storage: The Case of Pumped Hydro Storage in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-88.
    8. 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:

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    2. Victor-Gallardo, Luis & Quirós-Tortós, Jairo, 2023. "Techno-economic comparison of centralized and distributed power generation to support large-scale transport electrification in Costa Rica," Transport Policy, Elsevier, vol. 131(C), pages 120-138.
    3. Farzad Hassanzadeh Moghimi & Yihsu Chen & Afzal S. Siddiqui, 2023. "Flexible supply meets flexible demand: prosumer impact on strategic hydro operations," Computational Management Science, Springer, vol. 20(1), pages 1-35, December.
    4. Nikita Belyak & Steven A. Gabriel & Nikolay Khabarov & Fabricio Oliveira, 2023. "Renewable Energy Expansion under Taxes and Subsidies: A Transmission Operator's Perspective," Papers 2302.10562, arXiv.org, revised Apr 2024.
    5. Dirk Lauinger & Franc{c}ois Vuille & Daniel Kuhn, 2023. "Frequency Regulation with Storage: On Losses and Profits," Papers 2306.02987, arXiv.org, revised Mar 2024.

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