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A Flexibility Market Platform for Electricity System Operators Using Blockchain Technology

Author

Listed:
  • Valeri Mladenov

    (Faculty of Automatics, Technical University of Sofia, 1000 Sofia, Bulgaria)

  • Vesselin Chobanov

    (Faculty of Automatics, Technical University of Sofia, 1000 Sofia, Bulgaria)

  • George Calin Seritan

    (Faculty of Electrical Engineering, University “Politehnica” of Bucharest, 061071 Bucharest, Romania)

  • Radu Florin Porumb

    (Faculty of Power Engineering, University “Politehnica” of Bucharest, 061071 Bucharest, Romania)

  • Bogdan-Adrian Enache

    (Faculty of Electrical Engineering, University “Politehnica” of Bucharest, 061071 Bucharest, Romania)

  • Vasiliki Vita

    (ASPETE-School of Pedagogical and Technological Education, 14121 Athens, Greece)

  • Marilena Stănculescu

    (Faculty of Electrical Engineering, University “Politehnica” of Bucharest, 061071 Bucharest, Romania)

  • Thong Vu Van

    (EMAX, 41040 Brussels, Belgium)

  • Dimitrios Bargiotas

    (Department of Electrical and Computer Engineering, University of Thessaly, Sekeri & Cheiden Str., 38334 Volos, Greece)

Abstract

The paper’s main objective is to demonstrate the trading and flexibility of services amongst TSOs, DSOs, and Prosumers in a transparent, secure, and cost-effective manner using Blockchain-based TSO-DSO flexibility marketplace (EFLEX). The aim is to look for ways to help DSOs/TSOs be more flexible and more directly engaged in managing energy flows on the network. EFLEX will streamline the needs of both TSO and DSO on the same platform. Based on the paper’s proposed services, the pilot service demonstration will be carried out in Bulgaria and Romania, and the main focus will be on congestion management, TSO-DSO Coordination, and Marketplace. The proposed objective is achieved by using Blockchain-based smart contracts and distributed ledger technology.

Suggested Citation

  • Valeri Mladenov & Vesselin Chobanov & George Calin Seritan & Radu Florin Porumb & Bogdan-Adrian Enache & Vasiliki Vita & Marilena Stănculescu & Thong Vu Van & Dimitrios Bargiotas, 2022. "A Flexibility Market Platform for Electricity System Operators Using Blockchain Technology," Energies, MDPI, vol. 15(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:539-:d:723351
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    References listed on IDEAS

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    1. Nikolaidis, Pavlos & Poullikkas, Andreas, 2021. "A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement," Energy, Elsevier, vol. 234(C).
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    Cited by:

    1. Wang, Jian & Ilea, Valentin & Bovo, Cristian & Xie, Ning & Wang, Yong, 2023. "Optimal self-scheduling for a multi-energy virtual power plant providing energy and reserve services under a holistic market framework," Energy, Elsevier, vol. 278(PB).
    2. A. J. Jin & C. Li & J. Su & J. Tan, 2022. "Fundamental Studies of Smart Distributed Energy Resources along with Energy Blockchain," Energies, MDPI, vol. 15(21), pages 1-12, October.
    3. Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2022. "Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities," Energies, MDPI, vol. 15(20), pages 1-25, October.
    4. Georgios Fotis & Christos Dikeakos & Elias Zafeiropoulos & Stylianos Pappas & Vasiliki Vita, 2022. "Scalability and Replicability for Smart Grid Innovation Projects and the Improvement of Renewable Energy Sources Exploitation: The FLEXITRANSTORE Case," Energies, MDPI, vol. 15(13), pages 1-32, June.
    5. Nenad Sijakovic & Aleksandar Terzic & Georgios Fotis & Ioannis Mentis & Magda Zafeiropoulou & Theodoros I. Maris & Emmanouil Zoulias & Charalambos Elias & Vladan Ristic & Vasiliki Vita, 2022. "Active System Management Approach for Flexibility Services to the Greek Transmission and Distribution System," Energies, MDPI, vol. 15(17), pages 1-31, August.
    6. Arul Rajagopalan & Dhivya Swaminathan & Meshal Alharbi & Sudhakar Sengan & Oscar Danilo Montoya & Walid El-Shafai & Mostafa M. Fouda & Moustafa H. Aly, 2022. "Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods," Energies, MDPI, vol. 15(23), pages 1-18, November.

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