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Stochastic energy market equilibrium modeling with multiple agents

Author

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  • Brekke, Kjell Arne
  • Golombek, Rolf
  • Kaut, Michal
  • Kittelsen, Sverre A.C.
  • Wallace, Stein W.

Abstract

The energy markets are characterized by many agents simultaneously solving decision problems under uncertainty. It is argued that Monte Carlo simulations are not an adequate way to assess behavioral uncertainty; one should rather rely on stochastic modelling. Drawing on economics, decision theory and operations research, a simple guide on how to transform a deterministic energy market equilibrium model - where several agents simultaneously make decisions - into a stochastic equilibrium model is offered. With our approach, no programming of a stochastic solution algorithm is required.

Suggested Citation

  • Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017. "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, vol. 134(C), pages 984-990.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:984-990
    DOI: 10.1016/j.energy.2017.06.056
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    1. Egerer, Jonas & Rosellón, Juan & Schill, Wolf-Peter, 2015. "Power System Transformation toward Renewables: An Evaluation of Regulatory Approaches for Network Expansion," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36(4), pages 105-128.
    2. S. Gabriel & J. Fuller, 2010. "A Benders Decomposition Method for Solving Stochastic Complementarity Problems with an Application in Energy," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 301-329, April.
    3. Julia L. Higle & Stein W. Wallace, 2003. "Sensitivity Analysis and Uncertainty in Linear Programming," Interfaces, INFORMS, vol. 33(4), pages 53-60, August.
    4. Egging, Ruud & Holz, Franziska, 2016. "Risks in global natural gas markets: Investment, hedging and trade," Energy Policy, Elsevier, vol. 94(C), pages 468-479.
    5. Finn Roar Aune & Rolf Golombek & Sverre A.C. Kittelsen & Knut Einar Rosendahl, 2008. "Liberalizing European Energy Markets," Books, Edward Elgar Publishing, number 3071.
    6. Ibrahim Abada, 2012. "A stochastic generalized Nash-Cournot model for the northwestern European natural gas markets with a fuel substitution demand function: The S-GaMMES model," Working Papers 1202, Chaire Economie du climat.
    7. Egging, Ruud & Pichler, Alois & Kalvø, Øyvind Iversen & Walle–Hansen, Thomas Meyer, 2017. "Risk aversion in imperfect natural gas markets," European Journal of Operational Research, Elsevier, vol. 259(1), pages 367-383.
    8. Dorea Chin & Afzal Siddiqui, 2014. "Capacity expansion and forward contracting in a duopolistic power sector," Computational Management Science, Springer, vol. 11(1), pages 57-86, January.
    9. Egging, Ruud, 2013. "Benders Decomposition for multi-stage stochastic mixed complementarity problems – Applied to a global natural gas market model," European Journal of Operational Research, Elsevier, vol. 226(2), pages 341-353.
    10. R. T. Rockafellar & Roger J.-B. Wets, 1991. "Scenarios and Policy Aggregation in Optimization Under Uncertainty," Mathematics of Operations Research, INFORMS, vol. 16(1), pages 119-147, February.
    11. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, April.
    12. Stein W. Wallace, 2000. "Decision Making Under Uncertainty: Is Sensitivity Analysis of Any Use?," Operations Research, INFORMS, vol. 48(1), pages 20-25, February.
    13. EHRENMANN, Andreas & SMEERS, Yves, 2008. "Energy only, capacity market and security of supply. A stochastic equilibrium analysis," LIDAM Discussion Papers CORE 2008007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Taran Faehn and Elisabeth T. Isaksen, 2016. "Diffusion of Climate Technologies in the Presence of Commitment Problems," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Kjell Arne Brekke & Rolf Golombek & Michal Kaut & Sverre A.C. Kittelsen & Stein W. Wallace, 2013. "The Impact of Uncertainty on the European Energy Market: A Scenario Aggregation Approach," CESifo Working Paper Series 4500, CESifo.
    16. K. J. Arrow, 1964. "The Role of Securities in the Optimal Allocation of Risk-bearing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 31(2), pages 91-96.
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    Citations

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    Cited by:

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    2. Löschenbrand, Markus & Wei, Wei & Liu, Feng, 2018. "Hydro-thermal power market equilibrium with price-making hydropower producers," Energy, Elsevier, vol. 164(C), pages 377-389.
    3. Finn Roar Aune & Rolf Golombek, 2021. "Are Carbon Prices Redundant in the 2030 EU Climate and Energy Policy Package?," The Energy Journal, , vol. 42(3), pages 225-264, May.

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    More about this item

    Keywords

    Uncertainty; Stochastic equilibrium; Monte Carlo; Energy modeling;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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