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Exploring the Viability of Local Electricity Markets for Managing Congestion in Spanish Distribution Networks

Author

Listed:
  • Fernando García-Muñoz

    (IREC Catalonia Institute for Energy Research, C. Jardins de les Dones de Negre, 1, Pl. 2a, 08930 Sant Adrià del Besòs, Spain
    Industrial Engineering Department, Faculty of Engineering, University of Santiago of Chile (USACH), Santiago 9170022, Chile)

  • Mariana Jiménez-Martínez

    (IREC Catalonia Institute for Energy Research, C. Jardins de les Dones de Negre, 1, Pl. 2a, 08930 Sant Adrià del Besòs, Spain)

  • Josh Eichman

    (IREC Catalonia Institute for Energy Research, C. Jardins de les Dones de Negre, 1, Pl. 2a, 08930 Sant Adrià del Besòs, Spain)

  • Cristina Corchero

    (IREC Catalonia Institute for Energy Research, C. Jardins de les Dones de Negre, 1, Pl. 2a, 08930 Sant Adrià del Besòs, Spain)

  • Gabriela Benveniste

    (IREC Catalonia Institute for Energy Research, C. Jardins de les Dones de Negre, 1, Pl. 2a, 08930 Sant Adrià del Besòs, Spain)

Abstract

This article presents the methodology and results developed as part of the Integration of Energy Resources through Local Electricity Markets (IREMEL) project, whose aim is to assess the capability of flexibility markets to manage eventual distribution network (DN) congestion produced by a high penetration of distributed energy resources (DERs), including photovoltaic (PV) panels, battery energy storage systems (BESSs), and electric vehicles (EVs). The distribution system simulator OpenDSS has been used to simulate three Spanish DNs under multiple DER penetration scenarios considering an urban and rural low-voltage network and an industrial medium-voltage DN. Likewise, the congestion events detected in the annual simulations have been used to measure the potential of flexibility markets under different DER penetrations and energy pricing. The results suggest that oversized distribution networks could prevent a profitable flexibility market implementation since the simulations developed in this article shows that networks with high congestion levels are prime candidates to solve this issue through a market mechanism. Likewise, the results suggest that a proper price for the energy managed through a local flexibility market (LFM) could have a bigger effect on market viability than DER penetration.

Suggested Citation

  • Fernando García-Muñoz & Mariana Jiménez-Martínez & Josh Eichman & Cristina Corchero & Gabriela Benveniste, 2024. "Exploring the Viability of Local Electricity Markets for Managing Congestion in Spanish Distribution Networks," Energies, MDPI, vol. 17(3), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:659-:d:1329619
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    References listed on IDEAS

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    1. Gazafroudi, Amin Shokri & Khorasany, Mohsen & Razzaghi, Reza & Laaksonen, Hannu & Shafie-khah, Miadreza, 2021. "Hierarchical approach for coordinating energy and flexibility trading in local energy markets," Applied Energy, Elsevier, vol. 302(C).
    2. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    3. Fabian Scheller & Robert Burkhardt & Robert Schwarzeit & Russell McKenna & Thomas Bruckner, 2020. "Competition between simultaneous demand-side flexibility options: The case of community electricity storage systems," Papers 2011.05809, arXiv.org.
    4. Rebenaque, Olivier & Schmitt, Carlo & Schumann, Klemens & Dronne, Théo & Roques, Fabien, 2023. "Success of local flexibility market implementation: A review of current projects," Utilities Policy, Elsevier, vol. 80(C).
    5. Scheller, Fabian & Burkhardt, Robert & Schwarzeit, Robert & McKenna, Russell & Bruckner, Thomas, 2020. "Competition between simultaneous demand-side flexibility options: the case of community electricity storage systems," Applied Energy, Elsevier, vol. 269(C).
    6. Babagheibi, Mahsa & Jadid, Shahram & Kazemi, Ahad, 2023. "An Incentive-based robust flexibility market for congestion management of an active distribution system to use the free capacity of Microgrids," Applied Energy, Elsevier, vol. 336(C).
    7. Jin, Xiaolong & Wu, Qiuwei & Jia, Hongjie, 2020. "Local flexibility markets: Literature review on concepts, models and clearing methods," Applied Energy, Elsevier, vol. 261(C).
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