IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i6p2156-d771994.html
   My bibliography  Save this article

A Nash Equilibrium Approach to the Brazilian Seasonalization of Energy Certificates

Author

Listed:
  • Fellipe Fernandes Goulart dos Santos

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
    Companhia Energética de Minas Gerais S.A., Belo Horizonte 30190-131, Brazil)

  • Marcus Vinícius de Castro Lobato

    (Companhia Energética de Minas Gerais S.A., Belo Horizonte 30190-131, Brazil)

  • Douglas Alexandre Gomes Vieira

    (Enacom, Handcrafted Technologies, Belo Horizonte 31275-100, Brazil)

  • Adriano Chaves Lisboa

    (Gaia, Solutions on Demand, Belo Horizonte 31310-260, Brazil)

  • Rodney Rezende Saldanha

    (Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil)

Abstract

This paper presents a Nash equilibrium approach to model a non-cooperative game that takes place among Brazilian hydro-generating companies in the annual process called “seasonalization”. We have “remade” the seasonalizations that occurred in the period of 2013–2020 by using our model and comparing the financial outcomes with the current ones that resulted from the seasonalizations the generators made each year, with financial improvements in almost every year. By using the Nash equilibrium approach, it is possible to achieve optimal decisions concerning the seasonalization process that were not evident by using traditional methods. This approach is useful for companies willing to enhance their income and to improve their risk management by making better choices in seasonalization.

Suggested Citation

  • Fellipe Fernandes Goulart dos Santos & Marcus Vinícius de Castro Lobato & Douglas Alexandre Gomes Vieira & Adriano Chaves Lisboa & Rodney Rezende Saldanha, 2022. "A Nash Equilibrium Approach to the Brazilian Seasonalization of Energy Certificates," Energies, MDPI, vol. 15(6), pages 1-13, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2156-:d:771994
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/6/2156/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/6/2156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. E. J. Anderson & H. Xu, 2004. "Nash equilibria in electricity markets with discrete prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 60(2), pages 215-238, October.
    2. Min, C.G. & Kim, M.K. & Park, J.K. & Yoon, Y.T., 2013. "Game-theory-based generation maintenance scheduling in electricity markets," Energy, Elsevier, vol. 55(C), pages 310-318.
    3. Laís Domingues Leonel & Mateus Henrique Balan & Dorel Soares Ramos & Erik Eduardo Rego & Rodrigo Ferreira de Mello, 2021. "Financial Risk Control of Hydro Generation Systems through Market Intelligence and Stochastic Optimization," Energies, MDPI, vol. 14(19), pages 1-18, October.
    4. Peter M. DeMarzo & Ron Kaniel & Ilan Kremer, 2008. "Relative Wealth Concerns and Financial Bubbles," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 19-50, January.
    5. Tolmasquim, Maurício T. & de Barros Correia, Tiago & Addas Porto, Natália & Kruger, Wikus, 2021. "Electricity market design and renewable energy auctions: The case of Brazil," Energy Policy, Elsevier, vol. 158(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Basak, Suleyman & Makarov, Dmitry, 2012. "Difference in interim performance and risk taking with short-sale constraints," Journal of Financial Economics, Elsevier, vol. 103(2), pages 377-392.
    2. Keppler, Jan Horst & Quemin, Simon & Saguan, Marcelo, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Energy Policy, Elsevier, vol. 171(C).
    3. Qin, Jie, 2015. "A model of regret, investor behavior, and market turbulence," Journal of Economic Theory, Elsevier, vol. 160(C), pages 150-174.
    4. Enders, Zeno & Hakenes, Hendrik Hakenes, 2014. "On the Existence and Prevention of Speculative Bubbles," Working Papers 0567, University of Heidelberg, Department of Economics.
    5. Ana Werlang & Gabriel Cunha & João Bastos & Juliana Serra & Bruno Barbosa & Luiz Barroso, 2021. "Reliability Metrics for Generation Planning and the Role of Regulation in the Energy Transition: Case Studies of Brazil and Mexico," Energies, MDPI, vol. 14(21), pages 1-27, November.
    6. Holmberg, Pär & Newbery, David & Ralph, Daniel, 2013. "Supply function equilibria: Step functions and continuous representations," Journal of Economic Theory, Elsevier, vol. 148(4), pages 1509-1551.
    7. Arthur Lauro & Daniel Kitamura & Waleska Lima & Bruno Dias & Tiago Soares, 2023. "Considering Forward Electricity Prices for a Hydro Power Plant Risk Analysis in the Brazilian Electricity Market," Energies, MDPI, vol. 16(3), pages 1-13, January.
    8. He, Yiyao, 2022. "Heterogeneous stock traders, endogenous bubbles, and economic fluctuations," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Zhou, Dengji & Yu, Ziqiang & Zhang, Huisheng & Weng, Shilie, 2016. "A novel grey prognostic model based on Markov process and grey incidence analysis for energy conversion equipment degradation," Energy, Elsevier, vol. 109(C), pages 420-429.
    10. Li-Hsien Sun, 2022. "Mean Field Games with Heterogeneous Groups: Application to Banking Systems," Journal of Optimization Theory and Applications, Springer, vol. 192(1), pages 130-167, January.
    11. Froger, Aurélien & Gendreau, Michel & Mendoza, Jorge E. & Pinson, Éric & Rousseau, Louis-Martin, 2016. "Maintenance scheduling in the electricity industry: A literature review," European Journal of Operational Research, Elsevier, vol. 251(3), pages 695-706.
    12. Edward Anderson & Huifu Xu, 2006. "Optimal Supply Functions in Electricity Markets with Option Contracts and Non-smooth Costs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 63(3), pages 387-411, July.
    13. Rokhforoz, Pegah & Montazeri, Mina & Fink, Olga, 2023. "Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    14. Gerard Hoberg & Gordon Phillips, 2010. "Real and Financial Industry Booms and Busts," Journal of Finance, American Finance Association, vol. 65(1), pages 45-86, February.
    15. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    16. Enrico Lupi, 2024. "The impact of a winner takes all tournament on managers’ strategies and asset mispricing," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 121-136, June.
    17. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    18. Schoenberg, Eric J. & Haruvy, Ernan, 2012. "Relative performance information in asset markets: An experimental approach," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1143-1155.
    19. Suleyman Basak & Dmitry Makarov, 2014. "Strategic Asset Allocation in Money Management," Journal of Finance, American Finance Association, vol. 69(1), pages 179-217, February.
    20. Diniz, Bruno Andrade & Szklo, Alexandre & Tolmasquim, Maurício T. & Schaeffer, Roberto, 2023. "Delays in the construction of power plants from electricity auctions in Brazil," Energy Policy, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2156-:d:771994. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.