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Improved Regulatory Approaches for the Remuneration of Electricity Distribution Utilities with High Penetrations of Distributed Energy Resources

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  • Jesse D. Jenkins
  • Ignacio J. Pérez-Arriaga

Abstract

Under increasing penetration of distributed resources, regulators and electricity distribution utilities face greater uncertainty regarding the evolution of network uses and efficient system costs. This uncertainty can threaten revenue adequacy and challenges both cost of service/rate of return and incentive/performance-based approaches to the remuneration of distribution utilities. To address these challenges, this paper proposes a novel methodology to establish allowed utility revenues over a multi-year regulatory period. This method combines several "state of the art" regulatory tools designed to overcome information asymmetries, manage uncertainty, and align incentives for utilities to cost-effectively integrate distributed energy resources while taking advantage of opportunities to reduce system costs and improve performance. We use a reference network model to simulate a large-scale urban distribution network, demonstrate the practical application of this regulatory method, and illustrate its performance in the face of both benchmark and forecast errors.

Suggested Citation

  • 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).
  • Handle: RePEc:aen:journl:ej38-3-jenkins
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    4. David P. Brown and David E. M. Sappington, 2018. "Optimal Procurement of Distributed Energy Resources," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    5. Marques, Vítor & Costa, Paulo Moisés & Bento, Nuno, 2022. "Greater than the sum: On regulating innovation in electricity distribution networks with externalities," Utilities Policy, Elsevier, vol. 79(C).
    6. Boampong, Richard & Brown, David P., 2020. "On the benefits of behind-the-meter rooftop solar and energy storage: The importance of retail rate design," Energy Economics, Elsevier, vol. 86(C).
    7. Cambini, Carlo & Congiu, Raffaele & Jamasb, Tooraj & Llorca, Manuel & Soroush, Golnoush, 2020. "Energy Systems Integration: Implications for public policy," Energy Policy, Elsevier, vol. 143(C).
    8. Bovera, Filippo & Delfanti, Maurizio & Fumagalli, Elena & Lo Schiavo, Luca & Vailati, Riccardo, 2021. "Regulating electricity distribution networks under technological and demand uncertainty," Energy Policy, Elsevier, vol. 149(C).
    9. Haas, Reinhard & Duic, Neven & Auer, Hans & Ajanovic, Amela & Ramsebner, Jasmine & Knapek, Jaroslav & Zwickl-Bernhard, Sebastian, 2023. "The photovoltaic revolution is on: How it will change the electricity system in a lasting way," Energy, Elsevier, vol. 265(C).
    10. Brown, David P. & Sappington, David E. M., 2018. "Employing Simple Cost-Sharing Policies to Motivate the Efficient Implementation of Distributed Energy Resources," Working Papers 2018-9, University of Alberta, Department of Economics.
    11. Brown, David P. & Sappington, David E. M., 2017. "Self-Sabotage in the Procurement of Distributed Energy Resources," Working Papers 2017-11, University of Alberta, Department of Economics.
    12. TEUSCH, Jonas, 2016. "Merger Incentives Under Yardstick Competition : a Theoretical Model," LIDAM Discussion Papers CORE 2016037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. 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.
    14. Bovera, Filippo & Lo Schiavo, Luca, 2022. "From energy communities to sector coupling:a taxonomy for regulatory experimentation in the age of the European Green Deal," Energy Policy, Elsevier, vol. 171(C).
    15. Satchwell, Andrew J. & Cappers, Peter A., 2018. "Recent developments in competition and innovation for regulated electric utilities," Utilities Policy, Elsevier, vol. 55(C), pages 110-114.
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    17. 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).
    18. Kalkbrenner, Bernhard J. & Yonezawa, Koichi & Roosen, Jutta, 2017. "Consumer preferences for electricity tariffs: Does proximity matter?," Energy Policy, Elsevier, vol. 107(C), pages 413-424.
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    20. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
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    22. Hinz, Fabian & Schmidt, Matthew & Möst, Dominik, 2018. "Regional distribution effects of different electricity network tariff designs with a distributed generation structure: The case of Germany," Energy Policy, Elsevier, vol. 113(C), pages 97-111.

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