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Digital versus grid investments in electricity distribution grids: Informed decision-making through system dynamics

Author

Listed:
  • Leiva Vilaplana, Jose Angel
  • Yang, Guangya
  • Monaco, Roberto
  • Bergaentzlé, Claire
  • Ackom, Emmanuel
  • Morais, Hugo

Abstract

Estimating the costs and benefits associated with investments in digitalization, as well as grid reinforcement, expansion, and renovation, is crucial for effective prioritization and decision-making in electricity distribution grids. In the context of the energy transition, new investments are essential to accommodate distributed energy resources, such as renewable energy and electric mobility, while meeting rising electricity demands. These investments involve complex trade-offs for distribution system operators (DSOs) and national regulatory authorities (NRAs). To enhance transparency in understanding the interdependencies between digitalization, grid investments, and their financial and societal benefits, this study introduces a system dynamics modeling approach. The proposed model simulates the DSO business, incorporating causal relationships with NRAs and end users. Using historical data from the primary Portuguese DSO and NRA spanning 2012 to 2021, the model is rigorously validated. Following validation, a sensitivity analysis investigates how variations in capital expenditures influence the net present value (NPV) of DSOs, their total allowed revenue, quality of supply improvements, and end-user tariffs. Additionally, a scenario analysis assesses the impact of different investment levels on DSOs and end users, considering factors such as reliability, unit investment costs, electricity demand, and regulatory frameworks. The findings reveal that digitalization substantially enhances grid performance and the NPV of DSOs while having a minimal impact on end-user tariffs. This outcome remains consistent across various investment levels and technology combinations. Ultimately, this model-based approach offers NRAs and DSOs a comprehensive tool for evaluating the net benefits of digitalization and grid investments.

Suggested Citation

  • Leiva Vilaplana, Jose Angel & Yang, Guangya & Monaco, Roberto & Bergaentzlé, Claire & Ackom, Emmanuel & Morais, Hugo, 2025. "Digital versus grid investments in electricity distribution grids: Informed decision-making through system dynamics," Applied Energy, Elsevier, vol. 386(C).
  • Handle: RePEc:eee:appene:v:386:y:2025:i:c:s0306261925002661
    DOI: 10.1016/j.apenergy.2025.125536
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    References listed on IDEAS

    as
    1. Barlas, Yaman, 1989. "Multiple tests for validation of system dynamics type of simulation models," European Journal of Operational Research, Elsevier, vol. 42(1), pages 59-87, September.
    2. Larsen, Peter H., 2016. "A method to estimate the costs and benefits of undergrounding electricity transmission and distribution lines," Energy Economics, Elsevier, vol. 60(C), pages 47-61.
    3. Cullmann, Astrid & Nieswand, Maria, 2016. "Regulation and investment incentives in electricity distribution: An empirical assessment," Energy Economics, Elsevier, vol. 57(C), pages 192-203.
    4. González Grandón, T. & Schwenzer, J. & Steens, T. & Breuing, J., 2024. "Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine," Applied Energy, Elsevier, vol. 355(C).
    5. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    6. Athanasiadis, C.L. & Papadopoulos, T.A. & Kryonidis, G.C. & Doukas, D.I., 2024. "A review of distribution network applications based on smart meter data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    7. Monaco, Roberto & Bergaentzlé, Claire & Leiva Vilaplana, Jose Angel & Ackom, Emmanuel & Nielsen, Per Sieverts, 2024. "Digitalization of power distribution grids: Barrier analysis, ranking and policy recommendations," Energy Policy, Elsevier, vol. 188(C).
    8. Klyapovskiy, Sergey & You, Shi & Michiorri, Andrea & Kariniotakis, George & Bindner, Henrik W., 2019. "Incorporating flexibility options into distribution grid reinforcement planning: A techno-economic framework approach," Applied Energy, Elsevier, vol. 254(C).
    9. Wang, Yongli & Zhang, Fuli & Zhang, Yuanyuan & Wang, Xiaohai & Fan, Lisha & Song, Fuhao & Ma, Yuze & Wang, Shuo, 2019. "Chinese power-grid financial capacity based on transmission and distribution tariff policy: A system dynamics approach," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    10. Peter Zweifel & Aaron Praktiknjo & Georg Erdmann, 2017. "Economics of Electrical Grids," Springer Texts in Business and Economics, in: Energy Economics, chapter 13, pages 297-313, Springer.
    11. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
    12. Niesten, Eva & Alkemade, Floortje, 2016. "How is value created and captured in smart grids? A review of the literature and an analysis of pilot projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 629-638.
    13. Li, Xiang & Lepour, Dorsan & Heymann, Fabian & Maréchal, François, 2023. "Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050," Energy, Elsevier, vol. 279(C).
    14. Lago, Jesus & Marcjasz, Grzegorz & De Schutter, Bart & Weron, Rafał, 2021. "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," Applied Energy, Elsevier, vol. 293(C).
    15. Carnero, María Carmen & Gómez, Andrés, 2017. "Maintenance strategy selection in electric power distribution systems," Energy, Elsevier, vol. 129(C), pages 255-272.
    16. He, Y.X. & Jiao, J. & Chen, R.J. & Shu, H., 2018. "The optimization of Chinese power grid investment based on transmission and distribution tariff policy: A system dynamics approach," Energy Policy, Elsevier, vol. 113(C), pages 112-122.
    17. Vijayshankar, Sanjana & Chang, Chin-Yao & Utkarsh, Kumar & Wald, Dylan & Ding, Fei & Balamurugan, Sivasathya Pradha & King, Jennifer & Macwan, Richard, 2023. "Assessing the impact of cybersecurity attacks on energy systems," Applied Energy, Elsevier, vol. 345(C).
    18. Ehsan, Ali & Yang, Qiang, 2019. "State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review," Applied Energy, Elsevier, vol. 239(C), pages 1509-1523.
    19. Pringles, Rolando & Olsina, Fernando & Garcés, Francisco, 2015. "Real option valuation of power transmission investments by stochastic simulation," Energy Economics, Elsevier, vol. 47(C), pages 215-226.
    20. Pedro, Andressa & Krutnik, Mikolaj & Yadack, Van Malcolm & Pereira, Lucas & Morais, Hugo, 2023. "Opportunities and challenges for small-scale flexibility in European electricity markets," Utilities Policy, Elsevier, vol. 80(C).
    21. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    22. Mirshekali, Hamid & Mortensen, Lasse Kappel & Shaker, Hamid Reza, 2024. "Reliability-aware multi-objective approach for predictive asset management: A Danish distribution grid case study," Applied Energy, Elsevier, vol. 358(C).
    23. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    24. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
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