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What is a good distribution network tariff?—Developing indicators for performance assessment

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  • Hennig, Roman J.
  • Ribó-Pérez, David
  • de Vries, Laurens J.
  • Tindemans, Simon H.

Abstract

The adoption of distributed energy resources such as PV cells, electric vehicles and batteries in electric grids is increasing steadily. This brings new challenges for distribution networks. The current network tariffs were not designed for these types of usage and, in many cases, they are not adequate anymore. Thus, many new tariff frameworks have been proposed. In this paper, we focus on the question of how to assess whether a given tariff framework fulfills its objectives. We propose to use quantitative indicators for performance assessment. We give examples of indicators for common objectives and demonstrate how they can be derived from a cost-accounting methodology for distribution networks.

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  • 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).
    • Handle: RePEc:eee:appene:v:318:y:2022:i:c:s0306261922005554
    DOI: 10.1016/j.apenergy.2022.119186
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    References listed on IDEAS

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    1. Ansarin, Mohammad & Ghiassi-Farrokhfal, Yashar & Ketter, Wolfgang & Collins, John, 2020. "The economic consequences of electricity tariff design in a renewable energy era," Applied Energy, Elsevier, vol. 275(C).
    2. Hoarau, Quentin & Perez, Yannick, 2019. "Network tariff design with prosumers and electromobility: Who wins, who loses?," Energy Economics, Elsevier, vol. 83(C), pages 26-39.
    3. 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.
    4. Okur, Özge & Voulis, Nina & Heijnen, Petra & Lukszo, Zofia, 2019. "Aggregator-mediated demand response: Minimizing imbalances caused by uncertainty of solar generation," Applied Energy, Elsevier, vol. 247(C), pages 426-437.
    5. Jesse D. Jenkins & Ignacio J. Pérez-Arriaga, 2017. "Improved Regulatory Approaches for the Remuneration of Electricity Distribution Utilities with High Penetrations of Distributed Energy Resources," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Ingo Vogelsang, 2006. "Electricity Transmission Pricing and Performance-based Regulation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 97-126.
    7. Fridgen, Gilbert & Kahlen, Micha & Ketter, Wolfgang & Rieger, Alexander & Thimmel, Markus, 2018. "One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids," Applied Energy, Elsevier, vol. 210(C), pages 800-814.
    8. Ansarin, Mohammad & Ghiassi-Farrokhfal, Yashar & Ketter, Wolfgang & Collins, John, 2020. "Cross-subsidies among residential electricity prosumers from tariff design and metering infrastructure," Energy Policy, Elsevier, vol. 145(C).
    9. Savelli, Iacopo & De Paola, Antonio & Li, Furong, 2020. "Ex-ante dynamic network tariffs for transmission cost recovery," Applied Energy, Elsevier, vol. 258(C).
    10. Passey, Robert & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2017. "Designing more cost reflective electricity network tariffs with demand charges," Energy Policy, Elsevier, vol. 109(C), pages 642-649.
    11. Abdelmotteleb, Ibtihal & Gómez, Tomás & Chaves Ávila, José Pablo & Reneses, Javier, 2018. "Designing efficient distribution network charges in the context of active customers," Applied Energy, Elsevier, vol. 210(C), pages 815-826.
    12. Ribó-Pérez, David & Heleno, Miguel & Álvarez-Bel, Carlos, 2021. "The flexibility gap: Socioeconomic and geographical factors driving residential flexibility," Energy Policy, Elsevier, vol. 153(C).
    13. Rodri­guez Ortega, Mari­a Pi­a & Pérez-Arriaga, J. Ignacio & Abbad, Juan Rivier & González, Jesús Peco, 2008. "Distribution network tariffs: A closed question?," Energy Policy, Elsevier, vol. 36(5), pages 1712-1725, May.
    14. Neuteleers, Stijn & Mulder, Machiel & Hindriks, Frank, 2017. "Assessing fairness of dynamic grid tariffs," Energy Policy, Elsevier, vol. 108(C), pages 111-120.
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    Cited by:

    1. Hennig, Roman J. & de Vries, Laurens J. & Tindemans, Simon H., 2024. "Risk vs. restriction—An investigation of capacity-limitation based congestion management in electric distribution grids," Energy Policy, Elsevier, vol. 186(C).
    2. 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).
    3. Hennig, Roman J. & de Vries, Laurens J. & Tindemans, Simon H., 2023. "Congestion management in electricity distribution networks: Smart tariffs, local markets and direct control," Utilities Policy, Elsevier, vol. 85(C).
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    5. Kimmo Lummi & Antti Mutanen & Pertti Järventausta, 2024. "Calculation Methodology to Determine Electricity Distribution Tariffs Using an Approach Based on Cost Causation," Energies, MDPI, vol. 17(13), pages 1-25, July.
    6. 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).
    7. Heider, Anya & Huber, Jill & Farhat, Yamshid & Hertig, Yves & Hug, Gabriela, 2024. "How to choose a suitable network tariff? - Evaluating network tariffs under increasing integration of distributed energy resources," Energy Policy, Elsevier, vol. 188(C).
    8. Daniel Jung & Christofer Sundström, 2023. "Analysis of Tariffs and the Impact on Voltage Variations in Low-Voltage Grids with Smart Charging and Renewable Energy," Energies, MDPI, vol. 16(22), pages 1-18, November.
    9. Förster, Robert & Harding, Sebastian & Buhl, Hans Ulrich, 2024. "Unleashing the economic and ecological potential of energy flexibility: Attractiveness of real-time electricity tariffs in energy crises," Energy Policy, Elsevier, vol. 185(C).

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