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A Novel Cost Allocation Mechanism for Local Flexibility in the Power System with Partial Disintermediation

Author

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  • Ádám Sleisz

    (Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18, 1111 Budapest, Hungary)

  • Dániel Divényi

    (Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18, 1111 Budapest, Hungary)

  • Beáta Polgári

    (Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18, 1111 Budapest, Hungary)

  • Péter Sőrés

    (Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18, 1111 Budapest, Hungary
    Business Intelligence and Energy Regulation Department, MVM Hungarian Electricity Ltd., Szentendrei út 207-209, 1031 Budapest, Hungary)

  • Dávid Raisz

    (Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18, 1111 Budapest, Hungary)

Abstract

Electricity markets are going through a comprehensive transformation that includes the large-scale appearance of intermittent renewable generators (RGs). To handle the local effects of new RGs on the distribution grid, the more efficient utilization of distributed local flexibility (LF) resources is necessary. However, the optimal market design is not yet known for LF products. This paper investigates a novel cost allocation mechanism in the context of this market challenge. The mechanism is designed to provide several important advantages of peer-to-peer trading without creating barriers to practical application. It provides partial disintermediation. The acquisition of LF remains the responsibility of the DSO, while the financial costs of the transaction are covered on power exchanges (PXs). To provide this functionality, the clearing algorithm of the PX in question has to incorporate a novel feature we call the Payment Redistribution Technique. This technique allows the buyers’ expenses to be larger than the sellers’ income, and the difference is used to finance flexibility costs. Its mathematical formulation is presented and analyzed in detail, considering computational efficiency and accuracy. Afterward, a realistic case study is constructed to demonstrate the operation of the algorithm and its energy market effects.

Suggested Citation

  • Ádám Sleisz & Dániel Divényi & Beáta Polgári & Péter Sőrés & Dávid Raisz, 2022. "A Novel Cost Allocation Mechanism for Local Flexibility in the Power System with Partial Disintermediation," Energies, MDPI, vol. 15(22), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8646-:d:976349
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    1. Jullien, Céline & Pignon, Virginie & Robin, Stéphane & Staropoli, Carine, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Energy Economics, Elsevier, vol. 34(1), pages 1-13.
    2. Cergibozan, Raif, 2022. "Renewable energy sources as a solution for energy security risk: Empirical evidence from OECD countries," Renewable Energy, Elsevier, vol. 183(C), pages 617-626.
    3. Salla Annala & Lurian Klein & Luisa Matos & Sirpa Repo & Olli Kilkki & Arun Narayanan & Samuli Honkapuro, 2021. "Framework to Facilitate Electricity and Flexibility Trading within, to, and from Local Markets," Energies, MDPI, vol. 14(11), pages 1-20, May.
    4. Céline Jullien & Virginie Pignon & Stéphane Robin & Carine Staropoli, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Post-Print halshs-00617026, HAL.
    5. Backe, Stian & Zwickl-Bernhard, Sebastian & Schwabeneder, Daniel & Auer, Hans & Korpås, Magnus & Tomasgard, Asgeir, 2022. "Impact of energy communities on the European electricity and heating system decarbonization pathway: Comparing local and global flexibility responses," Applied Energy, Elsevier, vol. 323(C).
    6. Dávid Csercsik & Ádám Sleisz & Péter Márk Sőrés, 2019. "The Uncertain Bidder Pays Principle and Its Implementation in a Simple Integrated Portfolio-Bidding Energy-Reserve Market Model," Energies, MDPI, vol. 12(15), pages 1-25, August.
    7. Guerra, K. & Haro, P. & Gutiérrez, R.E. & Gómez-Barea, A., 2022. "Facing the high share of variable renewable energy in the power system: Flexibility and stability requirements," Applied Energy, Elsevier, vol. 310(C).
    8. Weinand, Jann & Scheller, Fabian Johannes & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Working Paper Series in Production and Energy 41, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    9. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).
    10. Roth, Tamara & Utz, Manuel & Baumgarte, Felix & Rieger, Alexander & Sedlmeir, Johannes & Strüker, Jens, 2022. "Electricity powered by blockchain: A review with a European perspective," Applied Energy, Elsevier, vol. 325(C).
    11. Andreas Zeiselmair & Simon Köppl, 2021. "Constrained Optimization as the Allocation Method in Local Flexibility Markets," Energies, MDPI, vol. 14(13), pages 1-21, June.
    12. Divényi, Dániel & Polgári, Beáta & Sleisz, Ádám & Sőrés, Péter & Raisz, Dávid, 2021. "Investigating minimum income condition orders on European power exchanges: Controversial properties and enhancement proposals," Applied Energy, Elsevier, vol. 281(C).
    13. Rongquan Zhang & Saddam Aziz & Muhammad Umar Farooq & Kazi Nazmul Hasan & Nabil Mohammed & Sadiq Ahmad & Nisrine Ibadah, 2021. "A Wind Energy Supplier Bidding Strategy Using Combined EGA-Inspired HPSOIFA Optimizer and Deep Learning Predictor," Energies, MDPI, vol. 14(11), pages 1-22, May.
    14. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    15. Sioshansi, Ramteen & Oren, Shmuel & O'Neill, Richard, 2010. "Three-part auctions versus self-commitment in day-ahead electricity markets," Utilities Policy, Elsevier, vol. 18(4), pages 165-173, December.
    16. Céline Jullien & Virginie Pignon & Stéphane Robin & Carine Staropoli, 2012. "Coordinating cross-border congestion management through auctions: An experimental approach to European solutions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00617026, HAL.
    17. Karim L. Anaya & Michael G. Pollitt, 2021. "The Role of Regulators in Promoting the Procurement of Flexibility Services within the Electricity Distribution System: A Survey of Seven Leading Countries," Energies, MDPI, vol. 14(14), pages 1-25, July.
    18. Simone Minniti & Niyam Haque & Phuong Nguyen & Guus Pemen, 2018. "Local Markets for Flexibility Trading: Key Stages and Enablers," Energies, MDPI, vol. 11(11), pages 1-21, November.
    19. Jann Michael Weinand & Fabian Scheller & Russell McKenna, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Papers 2011.05915, arXiv.org.
    20. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    21. Theo Dronne & Fabien Roques & Marcelo Saguan, 2021. "Local Flexibility Markets for Distribution Network Congestion-Management in Center-Western Europe: Which Design for Which Needs?," Energies, MDPI, vol. 14(14), pages 1-18, July.
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