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Redesigning residual cost allocation in electricity tariffs: A proposal to balance efficiency, equity and cost recovery

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  • Batlle, Carlos
  • Mastropietro, Paolo
  • Rodilla, Pablo

Abstract

In most power systems, residual costs (including, but not limited to, residual network costs and renewable support costs), are allocated through volumetric charges. This design, whose inefficiency has been latent in the last decades, is being challenged by the deployment of distributed energy resources, through which high-consumption customers may dramatically reduce the share of residual costs they pay, leaving a deficit to be paid by other customers. In principle, the most efficient alternative appears to be to allocate residual costs through fixed charges, but if these charges are flat, tariff equity is endangered. This article analyses the problem according to ratemaking theory, reviews the different allocation methodologies considered to date, and proposes a solution, based on uneven fixed charges, that allows to achieve efficiency, equity and cost recovery in modern electricity tariffs.

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  • Batlle, Carlos & Mastropietro, Paolo & Rodilla, Pablo, 2020. "Redesigning residual cost allocation in electricity tariffs: A proposal to balance efficiency, equity and cost recovery," Renewable Energy, Elsevier, vol. 155(C), pages 257-266.
  • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:257-266
    DOI: 10.1016/j.renene.2020.03.152
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    References listed on IDEAS

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    Cited by:

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    2. Jeddi, Samir & Sitzmann, Amelie, 2021. "Network tariffs under different pricing schemes in a dynamically consistent framework," EWI Working Papers 2021-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    3. Vaughan, Jim & Doumen, Sjoerd C. & Kok, Koen, 2023. "Empowering tomorrow, controlling today: A multi-criteria assessment of distribution grid tariff designs," Applied Energy, Elsevier, vol. 341(C).
    4. Hennig, Roman J. & Ribó-Pérez, David & de Vries, Laurens J. & Tindemans, Simon H., 2022. "What is a good distribution network tariff?—Developing indicators for performance assessment," Applied Energy, Elsevier, vol. 318(C).
    5. Morell-Dameto, Nicolás & Chaves-Ávila, José Pablo & Gómez San Román, Tomás & Schittekatte, Tim, 2023. "Forward-looking dynamic network charges for real-world electricity systems: A Slovenian case study," Energy Economics, Elsevier, vol. 125(C).
    6. Khan, Hafiz Anwar Ullah & Ünel, Burçin & Dvorkin, Yury, 2023. "Electricity Tariff Design via Lens of Energy Justice," Omega, Elsevier, vol. 117(C).
    7. Niels Govaerts & Kenneth Bruninx & Hélène Le Cadre & Leonardo Meeus & Erik Delarue, 2021. "Forward-looking distribution network charges considering lumpy investments," Journal of Regulatory Economics, Springer, vol. 59(3), pages 280-302, June.
    8. Venkatraman, Athindra & Thatte, Anupam A. & Xie, Le, 2021. "A smart meter data-driven distribution utility rate model for networks with prosumers," Utilities Policy, Elsevier, vol. 70(C).
    9. Hendam, Mohamed & Schittekatte, Tim & Abdel-Rahman, Mohamed & Kamh, Mohamed Zakaria, 2022. "Rethinking electricity rate design: Fostering the energy transition in North Africa," Energy Policy, Elsevier, vol. 169(C).
    10. Simeone, Christina E. & Gagnon, Pieter & Cappers, Peter & Satchwell, Andrew, 2023. "The bill alignment test: Identifying trade-offs with residential rate design options," Utilities Policy, Elsevier, vol. 82(C).
    11. Oprea, Simona-Vasilica & Bâra, Adela & Ciurea, Cristian-Eugen, 2022. "A novel cost-revenue allocation computation for the competitiveness of balancing responsible parties, including RES. Insights from the electricity market," Renewable Energy, Elsevier, vol. 199(C), pages 881-894.

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