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Strategic bidding of an energy storage agent in a joint energy and reserve market under stochastic generation

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  • Dimitriadis, Christos N.
  • Tsimopoulos, Evangelos G.
  • Georgiadis, Michael C.

Abstract

This work presents a bi-level optimization model for a price-maker energy storage agent, to determine the optimal hourly offering/bidding strategies in pool-based markets, under wind power generation uncertainty. The upper-level problem aims at maximizing storage agent's expected profits, whereas at the lower-level problem, a two-stage sequential market clearing procedure takes place. The first stage refers to a jointly cleared energy and reserve day-ahead market, deriving the optimal quantities for energy dispatch and reserve procurement, while at the second stage, a real-time energy-only market settlement is realized, considering plausible wind power generation scenarios. Real-time decisions include activated upward and downward reserves, already procured in the day-ahead market. The bi-level model is initially transformed into a mathematical program with equilibrium constraints -by recasting the lower-level problem using its Karush-Kuhn-Tucker optimality conditions-, which is further reduced into a mixed integer linear program. The proposed mathematical framework is applied to a 6-bus power grid, incurred by network transmission constraints. Numerical simulations illustrate an explicit perspective of the potential arbitrage opportunities for the storage agent, when acting strategically in energy and reserve markets, under wind generation increment scenarios and plausible transmission line congestions.

Suggested Citation

  • Dimitriadis, Christos N. & Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2022. "Strategic bidding of an energy storage agent in a joint energy and reserve market under stochastic generation," Energy, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:energy:v:242:y:2022:i:c:s0360544221032758
    DOI: 10.1016/j.energy.2021.123026
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    1. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, December.
    2. Green, Richard & Vasilakos, Nicholas, 2010. "Market behaviour with large amounts of intermittent generation," Energy Policy, Elsevier, vol. 38(7), pages 3211-3220, July.
    3. Gomes, I.L.R. & Pousinho, H.M.I. & Melício, R. & Mendes, V.M.F., 2017. "Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market," Energy, Elsevier, vol. 124(C), pages 310-320.
    4. Shafiee, Soroush & Zamani-Dehkordi, Payam & Zareipour, Hamidreza & Knight, Andrew M., 2016. "Economic assessment of a price-maker energy storage facility in the Alberta electricity market," Energy, Elsevier, vol. 111(C), pages 537-547.
    5. Drury, Easan & Denholm, Paul & Sioshansi, Ramteen, 2011. "The value of compressed air energy storage in energy and reserve markets," Energy, Elsevier, vol. 36(8), pages 4959-4973.
    6. Vega-Redondo,Fernando, 2003. "Economics and the Theory of Games," Cambridge Books, Cambridge University Press, number 9780521775908.
    7. Zou, Peng & Chen, Qixin & Xia, Qing & He, Guannan & Kang, Chongqing & Conejo, Antonio J., 2016. "Pool equilibria including strategic storage," Applied Energy, Elsevier, vol. 177(C), pages 260-270.
    8. Wang, Jian & Xin, Hao & Xie, Ning & Wang, Yong, 2022. "Equilibrium models of coordinated electricity and natural gas markets with different coupling information exchanging channels," Energy, Elsevier, vol. 239(PA).
    9. Antonio J. Conejo & Miguel Carrión & Juan M. Morales, 2010. "Decision Making Under Uncertainty in Electricity Markets," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7421-1, December.
    10. Juan M. Morales & Antonio J. Conejo & Henrik Madsen & Pierre Pinson & Marco Zugno, 2014. "Integrating Renewables in Electricity Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-9411-9, December.
    11. Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2019. "Optimal strategic offerings for a conventional producer in jointly cleared energy and balancing markets under high penetration of wind power production," Applied Energy, Elsevier, vol. 244(C), pages 16-35.
    12. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
    13. Nojavan, Sayyad & Najafi-Ghalelou, Afshin & Majidi, Majid & Zare, Kazem, 2018. "Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach," Energy, Elsevier, vol. 142(C), pages 250-257.
    14. Sioshansi, Fereidoon P., 2008. "Competitive Electricity Markets: Questions Remain about Design, Implementation, Performance," The Electricity Journal, Elsevier, vol. 21(2), pages 74-87, March.
    15. Shahmohammadi, Ali & Sioshansi, Ramteen & Conejo, Antonio J. & Afsharnia, Saeed, 2018. "Market equilibria and interactions between strategic generation, wind, and storage," Applied Energy, Elsevier, vol. 220(C), pages 876-892.
    16. Christos N. Dimitriadis & Evangelos G. Tsimopoulos & Michael C. Georgiadis, 2021. "A Review on the Complementarity Modelling in Competitive Electricity Markets," Energies, MDPI, vol. 14(21), pages 1-27, November.
    17. Khojasteh, Meysam & Faria, Pedro & Vale, Zita, 2022. "A robust model for aggregated bidding of energy storages and wind resources in the joint energy and reserve markets," Energy, Elsevier, vol. 238(PB).
    18. McConnell, Dylan & Forcey, Tim & Sandiford, Mike, 2015. "Estimating the value of electricity storage in an energy-only wholesale market," Applied Energy, Elsevier, vol. 159(C), pages 422-432.
    19. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    20. Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2021. "Nash equilibria in electricity pool markets with large-scale wind power integration," Energy, Elsevier, vol. 228(C).
    21. Khaloie, Hooman & Abdollahi, Amir & Shafie-khah, Miadreza & Anvari-Moghaddam, Amjad & Nojavan, Sayyad & Siano, Pierluigi & Catalão, João P.S., 2020. "Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model," Applied Energy, Elsevier, vol. 259(C).
    22. Nasiri, Nima & Zeynali, Saeed & Ravadanegh, Sajad Najafi & Marzband, Mousa, 2021. "A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market," Energy, Elsevier, vol. 235(C).
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