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Synergetic design of variable distribution network tariffs and upgrade investments

Author

Listed:
  • Pediaditis, Panagiotis
  • Papadaskalopoulos, Dimitrios
  • Papavasiliou, Anthony
  • Hatziargyriou, Nikos
  • Tsaousoglou, Georgios
  • Marinelli, Mattia

Abstract

Digitalization and the increase of distributed energy resources lead distribution system operators and regulatory authorities to rethink their practices. Two of their most important shared duties are to design the use-of-system tariffs, also known as network tariffs, and to plan network investments. This paper proposes a methodology for the synergetic design of variable network tariffs and network upgrade decisions. A novel stochastic bilevel optimization model is proposed, with investment decisions addressed in the first stage and the interaction between tariffs and prosumers’ responses captured in the second stage. The tariffs recover system costs, including network upgrade investments, and can have temporal and spatial variation. Fair cost allocation issues arising from their spatial variation are addressed. The case studies demonstrate the method’s effectiveness in reducing investment and operational costs, the trade-off between tariff granularity and cost reduction, and the value of stochastic versus deterministic planning.

Suggested Citation

  • Pediaditis, Panagiotis & Papadaskalopoulos, Dimitrios & Papavasiliou, Anthony & Hatziargyriou, Nikos & Tsaousoglou, Georgios & Marinelli, Mattia, 2025. "Synergetic design of variable distribution network tariffs and upgrade investments," Energy Economics, Elsevier, vol. 150(C).
    • Handle: RePEc:eee:eneeco:v:150:y:2025:i:c:s0140988325006929
    DOI: 10.1016/j.eneco.2025.108865
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    References listed on IDEAS

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    1. Savelli, Iacopo & Morstyn, Thomas, 2021. "Electricity prices and tariffs to keep everyone happy: A framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Omega, Elsevier, vol. 103(C).
    2. Khan, Hafiz Anwar Ullah & Ünel, Burçin & Dvorkin, Yury, 2023. "Electricity Tariff Design via Lens of Energy Justice," Omega, Elsevier, vol. 117(C).
    3. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2021. "A review on resilience studies in active distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Sonja Wogrin & Salvador Pineda & Diego A. Tejada-Arango, 2020. "Applications of Bilevel Optimization in Energy and Electricity Markets," Springer Optimization and Its Applications, in: Stephan Dempe & Alain Zemkoho (ed.), Bilevel Optimization, chapter 0, pages 139-168, Springer.
    5. Athir Nouicer & Leonardo Meeus & Erik Delarue, 2022. "Demand-side flexibility in distribution grids: voluntary versus mandatory contracting," RSCAS Working Papers 2022/55, European University Institute.
    6. repec:aen:journl:ej44-1-nouicer is not listed on IDEAS
    7. Prieger, James E, 1996. "Ramsey Pricing and Competition: The Consequences of Myopic Regulation," Journal of Regulatory Economics, Springer, vol. 10(3), pages 307-321, November.
    8. Abada, Ibrahim & Ehrenmann, Andreas & Lambin, Xavier, 2020. "Unintended consequences: The snowball effect of energy communities," Energy Policy, Elsevier, vol. 143(C).
    9. 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.
    10. Iacopo Savelli & Thomas Morstyn, 2020. "Electricity prices and tariffs to keep everyone happy: a framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Papers 2001.04283, arXiv.org, revised Jun 2021.
    11. repec:aen:eeepjl:eeep7-1-pollitt is not listed on IDEAS
    12. Athir Nouicer & Leonardo Meeus & Erik Delarue, 2023. "The Economics of Demand-side Flexibility in Distribution Grids," The Energy Journal, , vol. 44(1), pages 215-244, January.
    13. Arieli, Itai & Aumann, Robert J., 2015. "The logic of backward induction," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 443-464.
    14. Richard Schuler, 2012. "Pricing the use of capital-intensive infrastructure over time and efficient capacity expansion: illustrations for electric transmission investment," Journal of Regulatory Economics, Springer, vol. 41(1), pages 80-99, February.
    15. Tim Schittekatte & Leonardo Meeus, 2020. "Least-cost Distribution Network Tariff Design in Theory and Practice," The Energy Journal, , vol. 41(5), pages 119-156, September.
    16. repec:aen:journl:ej41-5-schittekatte is not listed on IDEAS
    17. 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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