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Market integration and TSO-DSO coordination for viable Market-based congestion management in power systems

Author

Listed:
  • Attar, Mehdi
  • Repo, Sami
  • Mutanen, Antti
  • Rinta-Luoma, Jukka
  • Väre, Teemu
  • Kukk, Kalle

Abstract

The article presents the findings on market-based congestion management (CM) in power systems. The main idea is to unlock flexibility from both small and large-scale resources by creating a platform so that flexibility can enter the markets through the platform and be used by system operators (DSOs and TSOs) for CM. The article recognizes two pressing issues in market-based CM: low liquidity and adverse impacts of flexibility activation. The article proposes leveraging market integration and TSO-DSO coordination to address the pressing problems and incorporate them into the platform. Bids from the intraday market at Nord Pool as well as the balancing market bids, were used for CM to show the possibility of addressing the low liquidity issue by receiving bids from well-established markets. In TSO-DSO coordination, an algorithm-agnostic process is proposed and implemented to involve SOs' network limitations before flexibility is traded to mitigate the adverse impacts of flexibility activation. As the market integration and TSO-DSO coordination functionalities rely on flexibility-related data that are often in huge quantities, a metadata register is also implemented to gather, process, and store data to be smoothly accessed by different stakeholders depending on their needs and access rights.

Suggested Citation

  • Attar, Mehdi & Repo, Sami & Mutanen, Antti & Rinta-Luoma, Jukka & Väre, Teemu & Kukk, Kalle, 2024. "Market integration and TSO-DSO coordination for viable Market-based congestion management in power systems," Applied Energy, Elsevier, vol. 353(PB).
    • Handle: RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923015441
    DOI: 10.1016/j.apenergy.2023.122180
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    Cited by:

    1. Cai, Qinqin & Xu, Ying & Yi, Zhongkai & Tu, Zhenghong, 2025. "TSO-DSO coordination in the joint balancing and flexibility markets considering classification and participation of VPPs," Energy, Elsevier, vol. 335(C).
    2. Papayiannis, Ioannis & Asprou, Markos & Hadjidemetriou, Lenos & Timotheou, Stelios, 2025. "Enhancement of transmission-distribution coordination for congestion management through an order prequalification scheme for distributed energy resources," Applied Energy, Elsevier, vol. 399(C).
    3. Wu, Chun & Chen, Xingying & Hua, Haochen & Yu, Kun & Gan, Lei & Wang, Bo, 2025. "Optimal energy management for prosumers and power plants considering transmission congestion based on carbon emission flow," Applied Energy, Elsevier, vol. 377(PB).
    4. Shafiekhani, Morteza & Qadrdan, Meysam, 2025. "Addressing electricity transmission network congestions using battery energy storage systems – a case study of great Britain," Applied Energy, Elsevier, vol. 384(C).
    5. Vijay, Rohit & Mathuria, Parul, 2024. "Common TSO-DSO market framework with no upfront priority to utilize DER flexibility," Energy, Elsevier, vol. 299(C).
    6. Singh, Chandransh & Sreekumar, Sreenu & Malakar, Tanmoy, 2026. "Balancing markets and imbalance forecasting: A pathway towards net zero grids," Applied Energy, Elsevier, vol. 402(PB).
    7. Girod, Marie & Donnot, Benjamin & Dussartre, Virginie & Terrier, Viktor & Bourmaud, Jean-Yves & Perez, Yannick, 2024. "Bid filtering for congestion management in European balancing markets – A reinforcement learning approach," Applied Energy, Elsevier, vol. 361(C).

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