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The effects of wind power on electricity markets: A case study of the Swedish intraday market

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  • Hu, Xiao
  • Jaraitė, Jūratė
  • Kažukauskas, Andrius

Abstract

We investigate the process of electricity price formation in the Swedish intraday market, given a large share of wind power in the Swedish electricity system. According to Karanfil and Li's (2017) approach, if the intraday market is efficient, with large shares of intermittent electricity in the entire electricity system, intraday prices should send signals based on scarcity pricing for balancing power. Based on this theory, we analyze Swedish electricity market data for the period 2015–2018 and find that the Swedish intraday market, despite its small trading volumes, is functioning properly. In particular, our results show that intraday price premia mostly respond to wind power forecast errors and other imbalances resulting from either supply or demand sides of the electricity market, as they should if the intraday market is efficient. The results of wind power forecast errors hold for central and southern Sweden, but not for northern Sweden where the share of wind power production is still very small. However, we find no effect of unplanned nuclear power plant outages on intraday price premia.

Suggested Citation

  • Hu, Xiao & Jaraitė, Jūratė & Kažukauskas, Andrius, 2021. "The effects of wind power on electricity markets: A case study of the Swedish intraday market," Energy Economics, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:eneeco:v:96:y:2021:i:c:s0140988321000645
    DOI: 10.1016/j.eneco.2021.105159
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    3. Li, Yanxue & Xie, Yun & Zhang, Xiaoyi & Xiao, Fu & Gao, Weijun, 2024. "Grid variability and value assessment of long-duration energy storage under rising photovoltaic penetration: Evidence from Japan," Energy, Elsevier, vol. 307(C).
    4. Hohl, Cody & Lo Prete, Chiara & Radhakrishnan, Ashish & Webster, Mort, 2023. "Intraday markets, wind integration and uplift payments in a regional U.S. power system," Energy Policy, Elsevier, vol. 175(C).
    5. Hakan Acaroğlu & Fausto Pedro García Márquez, 2021. "Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy," Energies, MDPI, vol. 14(22), pages 1-23, November.
    6. Henrik Zsiborács & Gábor Pintér & András Vincze & Nóra Hegedűsné Baranyai, 2022. "Wind Power Generation Scheduling Accuracy in Europe: An Overview of ENTSO-E Countries," Sustainability, MDPI, vol. 14(24), pages 1-58, December.
    7. Nickelsen, Daniel & Müller, Gernot, 2025. "Bayesian hierarchical probabilistic forecasting of intraday electricity prices," Applied Energy, Elsevier, vol. 380(C).
    8. Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Hannes Agabus, 2023. "Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review," Energies, MDPI, vol. 16(5), pages 1-52, February.
    9. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    10. Marko Lucic & George Xydis, 2025. "Performance of the autoregressive integrated moving average model with exogenous variables statistical model on the intraday market for the Denmark-West bidding area," Energy & Environment, , vol. 36(4), pages 1714-1750, June.
    11. Bâra, Adela & Georgescu, Irina Alexandra & Oprea, Simona-Vasilica, 2025. "The role of generation mix, demand fluctuations and sequential markets in shaping intraday electricity prices. Evidence from Romania," Renewable Energy, Elsevier, vol. 255(C).
    12. Carrión, Miguel & Domínguez, Ruth & Oggioni, Giorgia, 2025. "Optimal participation of wind power producers in a hybrid intraday market: A multi-stage stochastic approach," Energy Economics, Elsevier, vol. 144(C).

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    JEL classification:

    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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