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Agent-based analysis of the impact of the imbalance pricing mechanism on market behavior in electricity balancing markets

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  • van der Veen, Reinier A.C.
  • Abbasy, Alireza
  • Hakvoort, Rudi A.

Abstract

The imbalance pricing mechanism is an important design variable within European-type electricity balancing markets that determines the incentives given to so-called Balance Responsible Parties (BRPs) to balance their electricity production and consumption portfolio. To analyze the impact of alternative imbalance pricing mechanisms on balancing market performance, an agent-based model has been built, in which the BRPs are the agents that decide autonomously in each round on their balancing strategy based on results in past rounds. Six alternative mechanisms are analyzed. It is concluded that aiming for a small long position is generally the preferable BRP strategy. Different imbalance pricing mechanisms lead to comparable system imbalances, but single pricing results in the lowest imbalance costs for the BRPs and for the market as a whole.

Suggested Citation

  • van der Veen, Reinier A.C. & Abbasy, Alireza & Hakvoort, Rudi A., 2012. "Agent-based analysis of the impact of the imbalance pricing mechanism on market behavior in electricity balancing markets," Energy Economics, Elsevier, vol. 34(4), pages 874-881.
    • Handle: RePEc:eee:eneeco:v:34:y:2012:i:4:p:874-881
    DOI: 10.1016/j.eneco.2012.04.001
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Michał Narajewski, 2022. "Probabilistic Forecasting of German Electricity Imbalance Prices," Energies, MDPI, vol. 15(14), pages 1-17, July.
    2. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    3. Eicke, Anselm & Ruhnau, Oliver & Hirth, Lion, 2021. "Electricity balancing as a market equilibrium," EconStor Preprints 233852, ZBW - Leibniz Information Centre for Economics.
    4. Facchini, Angelo & Rubino, Alessandro & Caldarelli, Guido & Di Liddo, Giuseppe, 2019. "Changes to Gate Closure and its impact on wholesale electricity prices: The case of the UK," Energy Policy, Elsevier, vol. 125(C), pages 110-121.
    5. Khojasteh, Meysam & Faria, Pedro & Lezama, Fernando & Vale, Zita, 2023. "A hierarchy model to use local resources by DSO and TSO in the balancing market," Energy, Elsevier, vol. 267(C).
    6. Karakoyun, Ece Cigdem & Avci, Harun & Kocaman, Ayse Selin & Nadar, Emre, 2023. "Deviations from commitments: Markov decision process formulations for the role of energy storage," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Okur, Özge & Voulis, Nina & Heijnen, Petra & Lukszo, Zofia, 2019. "Aggregator-mediated demand response: Minimizing imbalances caused by uncertainty of solar generation," Applied Energy, Elsevier, vol. 247(C), pages 426-437.
    8. Wu, Zhaoyuan & Zhou, Ming & Zhang, Ting & Li, Gengyin & Zhang, Yan & Liu, Xiaojuan, 2020. "Imbalance settlement evaluation for China's balancing market design via an agent-based model with a multiple criteria decision analysis method," Energy Policy, Elsevier, vol. 139(C).
    9. Gro Klæboe & Jørgen Braathen & Anders Lund Eriksrud & Stein-Erik Fleten, 2022. "Day-ahead market bidding taking the balancing power market into account," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 683-703, October.
    10. Okur, Özge & Heijnen, Petra & Lukszo, Zofia, 2021. "Aggregator’s business models in residential and service sectors: A review of operational and financial aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    11. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    12. Chaves-Ávila, José Pablo & van der Veen, Reinier A.C. & Hakvoort, Rudi A., 2014. "The interplay between imbalance pricing mechanisms and network congestions – Analysis of the German electricity market," Utilities Policy, Elsevier, vol. 28(C), pages 52-61.
    13. Brijs, Tom & De Jonghe, Cedric & Hobbs, Benjamin F. & Belmans, Ronnie, 2017. "Interactions between the design of short-term electricity markets in the CWE region and power system flexibility," Applied Energy, Elsevier, vol. 195(C), pages 36-51.
    14. Meysam Khojasteh & Pedro Faria & Fernando Lezama & Zita Vale, 2023. "A Robust Model for Portfolio Management of Microgrid Operator in the Balancing Market," Energies, MDPI, vol. 16(4), pages 1-12, February.
    15. Cartuyvels, Jacques & Bertrand, Gilles & Papavasiliou, Anthony, 2023. "Market Equilibria in Cross-Border Balancing Platforms," LIDAM Discussion Papers CORE 2023009, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Micha{l} Narajewski, 2022. "Probabilistic forecasting of German electricity imbalance prices," Papers 2205.11439, arXiv.org.
    17. Liu, Tingting & Xu, Jiuping, 2021. "Equilibrium strategy based policy shifts towards the integration of wind power in spot electricity markets: A perspective from China," Energy Policy, Elsevier, vol. 157(C).
    18. van der Veen, Reinier A.C. & Hakvoort, Rudi A., 2016. "The electricity balancing market: Exploring the design challenge," Utilities Policy, Elsevier, vol. 43(PB), pages 186-194.
    19. Eicke, Anselm & Ruhnau, Oliver & Hirth, Lion, 2021. "Electricity balancing as a market equilibrium: An instrument-based estimation of supply and demand for imbalance energy," Energy Economics, Elsevier, vol. 102(C).
    20. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.
    21. Gro Klaeboe & Anders Lund Eriksrud & Stein-Erik Fleten, 2013. "Benchmarking time series based forecasting models for electricity balancing market prices," Working Papers 2013-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    22. Brijs, Tom & De Vos, Kristof & De Jonghe, Cedric & Belmans, Ronnie, 2015. "Statistical analysis of negative prices in European balancing markets," Renewable Energy, Elsevier, vol. 80(C), pages 53-60.
    23. Frade, P.M.S. & Santana, J.J.E. & Shafie-khah, M. & Catalão, J.P.S., 2018. "Impact of tertiary reserve sharing in Portugal," Utilities Policy, Elsevier, vol. 55(C), pages 167-177.
    24. Weisi Deng & Buhan Zhang & Hongfa Ding & Hang Li, 2017. "Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System," Energies, MDPI, vol. 10(2), pages 1-19, February.
    25. Oprea, Simona-Vasilica & Bâra, Adela & Ciurea, Cristian-Eugen, 2022. "A novel cost-revenue allocation computation for the competitiveness of balancing responsible parties, including RES. Insights from the electricity market," Renewable Energy, Elsevier, vol. 199(C), pages 881-894.

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    More about this item

    Keywords

    Electricity markets; Balancing market; Settlement; Agent-based modeling; Imbalance pricing mechanism;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L19 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Other

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