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Renewable Generation and Network Congestion: An Empirical Analysis of the Italian Power Market

Author

Listed:
  • Faddy Ardian

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique)

  • Silvia Concettini

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Anna Creti

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article empirically investigates the impact of renewable production on congestion using a unique database on the Italian Power Market, where zonal pricing is implemented. We estimate two econometric models: a multinomial logit model, to assess whether renewables increase the occurrence of congestion, and a two stage least squares (2SLS) model to evaluate the impact of wind and photovoltaics on congestion costs. Our analysis suggests that larger renewable supply in importing regions decreases the probability of congestion compared to the no congestion case, while the reverse occurs when renewable production is located in an exporting region. The 2SLS estimations reveal that the same mechanisms explain the level of congestion costs. Our results also highlight that the magnitude of the congestion effects, both in terms of probability and costs, is very sensitive to the location of the historical efficient production, mainly hydro power, and to the geographical configuration of the transmission network.

Suggested Citation

  • Faddy Ardian & Silvia Concettini & Anna Creti, 2018. "Renewable Generation and Network Congestion: An Empirical Analysis of the Italian Power Market," Post-Print hal-02315332, HAL.
    • Handle: RePEc:hal:journl:hal-02315332
    DOI: 10.5547/01956574.39.SI2.fard
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    Citations

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    Cited by:

    1. Wadström, Christoffer & Wittberg, Emanuel & Uddin, Gazi Salah & Jayasekera, Ranadeva, 2019. "Role of renewable energy on industrial output in Canada," Energy Economics, Elsevier, vol. 81(C), pages 626-638.
    2. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    3. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    4. Cambini, Carlo & Soroush, Golnoush, 2019. "Designing grid tariffs in the presence of distributed generation," Utilities Policy, Elsevier, vol. 61(C).
    5. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    6. Concettini, Silvia & Creti, Anna & Gualdi, Stanislao, 2022. "Assessing the regional redistributive effect of renewable power production through a spot market algorithm simulator: The case of Italy," Energy Economics, Elsevier, vol. 114(C).
    7. Yue Pu & Yunting Li & Yingzi Wang, 2021. "Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    8. Potenciano Menci, Sergio & Valarezo, Orlando, 2024. "Decoding design characteristics of local flexibility markets for congestion management with a multi-layered taxonomy," Applied Energy, Elsevier, vol. 357(C).

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