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Impact of storage competition on energy markets

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  • Cruise, James R.
  • Flatley, Lisa
  • Zachary, Stan

Abstract

We study how storage, operating as a price maker within a market environment, may be optimally operated over an extended period of time. The optimality criterion may be the maximisation of the profit of the storage itself, where this profit results from the exploitation of the differences in market clearing prices at different times. Alternatively it may be the minimisation of the cost of generation, or the maximisation of consumer surplus or social welfare. In all cases there is calculated for each successive time-step the cost function measuring the total impact of whatever action is taken by the storage. The succession of such cost functions provides the information for the storage to determine how to behave over time, forming the basis of the appropriate optimisation problem.

Suggested Citation

  • Cruise, James R. & Flatley, Lisa & Zachary, Stan, 2018. "Impact of storage competition on energy markets," European Journal of Operational Research, Elsevier, vol. 269(3), pages 998-1012.
    • Handle: RePEc:eee:ejores:v:269:y:2018:i:3:p:998-1012
    DOI: 10.1016/j.ejor.2018.02.036
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    Cited by:

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    2. Liu, Shiyu & Ren, Yanzhe & Zhang, Zhenyu & Xiao, Yao & Bie, Zhaohong & Wang, Xifan, 2021. "Optimal bid-offer strategy for a virtual energy storage merchant: A stochastic bi-level model with all-scenario feasibility," Applied Energy, Elsevier, vol. 299(C).
    3. Tómasson, Egill & Hesamzadeh, Mohammad Reza & Wolak, Frank A., 2020. "Optimal offer-bid strategy of an energy storage portfolio: A linear quasi-relaxation approach," Applied Energy, Elsevier, vol. 260(C).
    4. Dongwei Zhao & Sarah Coyle & Apurba Sakti & Audun Botterud, 2022. "Market Mechanisms for Low-Carbon Electricity Investments: A Game-Theoretical Analysis," Papers 2212.06984, arXiv.org, revised Aug 2023.
    5. Löschenbrand, Markus, 2020. "Finding multiple Nash equilibria via machine learning-supported Gröbner bases," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1178-1189.
    6. Ting Zhang & Shuaishuai Cao & Lingying Pan & Chenyu Zhou, 2020. "A Policy Effect Analysis of China’s Energy Storage Development Based on a Multi-Agent Evolutionary Game Model," Energies, MDPI, vol. 13(23), pages 1-35, November.
    7. Zhao, Dongwei & Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Strategic energy storage investments: A case study of the CAISO electricity market," Applied Energy, Elsevier, vol. 325(C).
    8. Marina V. Vasiljeva & Vadim V. Ponkratov & Elena Y. Kharlamova & Nikolay V. Kuznetsov & Maksim S. Maramygin & Maria V. Volkova, 2019. "Problems and Prospects of Development of the Oil Exchange Market in the Russian Federation," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 77-86.

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