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Efficient tariff structures for distribution network services

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  • Brown, Toby
  • Faruqui, Ahmad
  • Grausz, Léa

Abstract

This paper reviews different methods for ensuring economic efficiency when devising tariffs for distribution network services while meeting the revenue constraint.11For further discussions about different regulatory frameworks in regulating network tariffs, the reader can refer to Nepal et al. (2014). There is a long tradition in welfare economics which suggests that prices should be based on long run marginal costs to achieve economic efficiency. However, network revenue requirements are often based on embedded costs, which are typically higher than long run marginal costs. This creates the problem of recovering residual costs. There are several methods available for doing so. Of course, economic efficiency is not the only criterion for designing tariffs. Fairness and gradualism are two other criteria that play heavily in the design of electricity tariffs. By drawing upon representative data from Australia, we illustrate the various methods and evaluate their likely performance on these criteria.

Suggested Citation

  • Brown, Toby & Faruqui, Ahmad & Grausz, Léa, 2015. "Efficient tariff structures for distribution network services," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 139-149.
  • Handle: RePEc:eee:ecanpo:v:48:y:2015:i:c:p:139-149
    DOI: 10.1016/j.eap.2015.11.010
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    2. Simshauser, Paul, 2018. "Price discrimination and the modes of failure in deregulated retail electricity markets," Energy Economics, Elsevier, vol. 75(C), pages 54-70.
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    8. Tim Nelson & Stephanie Bashir & Eleanor McCracken-Hewson & Michael Pierce, 2017. "The Changing Nature of the Australian Electricity Industry," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 104-120, June.
    9. Li, Na & Hakvoort, Rudi A. & Lukszo, Zofia, 2021. "Cost allocation in integrated community energy systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. Jessica Thomsen & Christoph Weber, "undated". "How the design of retail prices, network charges, and levies affects profitability and operation of small-scale PV-Battery Storage Systems," EWL Working Papers 1903, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    11. Timothé Beaufils & Pierre-Olivier Pineau, 2018. "Structures tarifaires et spirale de la mort : État des lieux des pratiques de tarification dans la distribution d’électricité résidentielle," CIRANO Working Papers 2018s-27, CIRANO.
    12. Di Foggia, Giacomo & Beccarello, Massimo, 2023. "Designing circular economy-compliant municipal solid waste management charging schemes," Utilities Policy, Elsevier, vol. 81(C).
    13. Neuteleers, Stijn & Mulder, Machiel & Hindriks, Frank, 2017. "Assessing fairness of dynamic grid tariffs," Energy Policy, Elsevier, vol. 108(C), pages 111-120.
    14. Osaru Agbonaye & Patrick Keatley & Ye Huang & Motasem Bani Mustafa & Neil Hewitt, 2020. "Design, Valuation and Comparison of Demand Response Strategies for Congestion Management," Energies, MDPI, vol. 13(22), pages 1-29, November.
    15. 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.
    16. Li, Yumin & Jiang, Yan & Dong, Changgui, 2023. "Electricity cross-subsidies in China: Social equity, reverse Ramsey pricing, and welfare analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 403-417.
    17. Jan, Muhammad Zain & Ullah, Kafait & Abbas, Faisal & Khalid, Hassan Abdullah & Bajwa, Tariq M., 2023. "Barriers to the adoption of social welfare measures in the electricity tariff structure of developing countries: A case of Pakistan," Energy Policy, Elsevier, vol. 179(C).
    18. Di Foggia, Giacomo & Beccarello, Massimo, 2020. "The impact of a gain-sharing cost-reflective tariff on waste management cost under incentive regulation: The Italian case," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 265.
    19. Roberts, Mike B. & Sharma, Arijit & MacGill, Iain, 2022. "Efficient, effective and fair allocation of costs and benefits in residential energy communities deploying shared photovoltaics," Applied Energy, Elsevier, vol. 305(C).
    20. Faerber, Laura Antonia & Balta-Ozkan, Nazmiye & Connor, Peter M., 2018. "Innovative network pricing to support the transition to a smart grid in a low-carbon economy," Energy Policy, Elsevier, vol. 116(C), pages 210-219.
    21. Bjarghov, Sigurd & Farahmand, Hossein & Doorman, Gerard, 2022. "Capacity subscription grid tariff efficiency and the impact of uncertainty on the subscribed level," Energy Policy, Elsevier, vol. 165(C).
    22. Beaufils, Timothé & Pineau, Pierre-Olivier, 2019. "Assessing the impact of residential load profile changes on electricity distribution utility revenues under alternative rate structures," Utilities Policy, Elsevier, vol. 61(C).
    23. Sigurd Bjarghov & Hossein Farahmand & Gerard Doorman, 2021. "Grid Tariffs Based on Capacity Subscription: Multi Year Analysis on Metered Consumer Data," Papers 2111.06253, arXiv.org.
    24. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.

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