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The impact of intraday markets on the market value of flexibility — Decomposing effects on profile and the imbalance costs

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  • Pape, Christian

Abstract

An increasing share of variable renewable energy sources (VREs) basically affects the electricity price formation in two ways: (1) The so-called merit order effect tends to lower the base price level and challenges conventional plants to remain profitable. (2) Due to the variable nature of renewable energy infeed, the short-term demand for flexibility increases and changes the volatility of electricity prices. The more variable prices offer opportunities for controllable electricity producers (CEPs) who provide up- and down-ramping flexibility to increase their revenues. In contrast, the VREs with high degrees of simultaneity tend to pay for this flexibility in the electricity spot market to reduce their imbalance exposure. The intraday market (IDM) for electricity has gained importance for the market value of different technologies lately and continues to expand due to the increasing efforts to balance within-day deviation from day-ahead schedules. This article presents a combination and extension of two existing models to capture the peculiarities of the intraday price formation and to analyze the impact of the IDM on the market value of VREs and CEPs. Doing so, the paper suggests an adjustment of the classical market value factor metric and to go beyond classical day-ahead market (DAM) information. The article shows that market value factors (MVFs) can be stabilized if the IDM delivers ‘market-based’ price signals for the costs of flexibility, that are sufficient to activate flexibilities prior to the usually more expensive imbalance mechanism (IBM). Yet, the MVFs from single VRE technologies will worsen if their market share is high enough to outweigh forecast errors from other technologies and if they become a permanent price maker in the IDM and the IBM.

Suggested Citation

  • Pape, Christian, 2018. "The impact of intraday markets on the market value of flexibility — Decomposing effects on profile and the imbalance costs," Energy Economics, Elsevier, vol. 76(C), pages 186-201.
  • Handle: RePEc:eee:eneeco:v:76:y:2018:i:c:p:186-201
    DOI: 10.1016/j.eneco.2018.10.004
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    3. 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.
    4. Mou, Dunguo & Wang, Zining, 2022. "A systematic analysis of integrating variable wind power into Fujian power grid," Energy Policy, Elsevier, vol. 170(C).
    5. Andreas Dietrich, 2023. "Incentives for flexible consumption and production on end-user level - Evidence from a German case study and outlook for 2030 -," EWL Working Papers 2302, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Feb 2023.
    6. Le, Hong Lam & Ilea, Valentin & Bovo, Cristian, 2019. "Integrated European intra-day electricity market: Rules, modeling and analysis," Applied Energy, Elsevier, vol. 238(C), pages 258-273.
    7. Rainer Baule & Michael Naumann, 2021. "Volatility and Dispersion of Hourly Electricity Contracts on the German Continuous Intraday Market," Energies, MDPI, vol. 14(22), pages 1-24, November.
    8. Li, Yanxue & Zhang, Xiaoyi & Gao, Weijun & Ruan, Yingjun, 2020. "Capacity credit and market value analysis of photovoltaic integration considering grid flexibility requirements," Renewable Energy, Elsevier, vol. 159(C), pages 908-919.
    9. Guray Kara & Asgeir Tomasgard & Hossein Farahmand, 2021. "Characterization of flexible electricity in power and energy markets," Papers 2109.03000, arXiv.org.
    10. Natapon Wanapinit & Jessica Thomsen, 2021. "Synergies between Renewable Energy and Flexibility Investments: A Case of a Medium-Sized Industry," Energies, MDPI, vol. 14(22), pages 1-24, November.
    11. Leonard Burg & Gonca Gürses-Tran & Reinhard Madlener & Antonello Monti, 2021. "Comparative Analysis of Load Forecasting Models for Varying Time Horizons and Load Aggregation Levels," Energies, MDPI, vol. 14(21), pages 1-16, November.
    12. Kara, Güray & Tomasgard, Asgeir & Farahmand, Hossein, 2022. "Characterizing flexibility in power markets and systems," Utilities Policy, Elsevier, vol. 75(C).
    13. Rainer Baule & Michael Naumann, 2022. "Flexible Short-Term Electricity Certificates—An Analysis of Trading Strategies on the Continuous Intraday Market," Energies, MDPI, vol. 15(17), pages 1-28, August.

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    More about this item

    Keywords

    Intraday markets; Imbalance mechanism; Market value; Renewable energy;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • N74 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Europe: 1913-

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