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Availability of the European power system assets: What we learn from data?

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  • Gjorgiev, Blazhe
  • Stankovski, Andrej
  • Wengler, Joe
  • Sencan, Sinan
  • Sansavini, Giovanni

Abstract

The electric power system in Europe is undergoing rapid transformation due to the integration of intermittent and distributed energy sources. This change impacts system operations and the utilization of the system assets. Therefore, there is a growing need to assess the security of electricity supply. In Europe, however, conducting thorough analyses is hindered by the absence of failure data for generation and transmission assets. To overcome this limitation, we use generator and transmission unavailability data from the ENTSO-E transparency platform and quantify plant-specific availabilities of the European power system key assets. In particular, we apply Markov processes and compute the steady-state probabilities of generators, internal lines, interconnectors, transformers, and substations from transition rates estimated for outage events. We found that within the European power system, internal power lines fail and need maintenance less frequently than interconnectors with neighboring power systems. Our analyses also demonstrate that power transformers have higher availability compared to internal lines and interconnectors. We observe that alternate-current interconnectors exhibit notably higher availability than direct-current interconnectors. Additionally, our findings indicate variations in generator availability depending on the generator technology (e.g., fossil, nuclear, hydro, PV, wind). Remarkably, generator failure and repair rates differ based on location. This paper enables further power system security assessments by computing availability parameters (i.e., failure rates, steady-state probabilities) for European generators and transmission grid assets.

Suggested Citation

  • Gjorgiev, Blazhe & Stankovski, Andrej & Wengler, Joe & Sencan, Sinan & Sansavini, Giovanni, 2025. "Availability of the European power system assets: What we learn from data?," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
  • Handle: RePEc:eee:reensy:v:258:y:2025:i:c:s0951832025000912
    DOI: 10.1016/j.ress.2025.110887
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    References listed on IDEAS

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    1. Lin, Yonggang & Tu, Le & Liu, Hongwei & Li, Wei, 2016. "Fault analysis of wind turbines in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 482-490.
    2. Hou, Guangyang & Muraleetharan, Kanthasamy K. & Panchalogaranjan, Vinushika & Moses, Paul & Javid, Amir & Al-Dakheeli, Hussein & Bulut, Rifat & Campos, Richard & Harvey, P. Scott & Miller, Gerald & Bo, 2023. "Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Hirth, Lion & Mühlenpfordt, Jonathan & Bulkeley, Marisa, 2018. "The ENTSO-E Transparency Platform – A review of Europe’s most ambitious electricity data platform," Applied Energy, Elsevier, vol. 225(C), pages 1054-1067.
    4. Shabanian-Poodeh, Mostafa & Hooshmand, Rahmat-Allah & Shafie-khah, Miadreza, 2025. "Reliability-constrained configuration optimization for integrated power and natural gas energy systems: A stochastic approach," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    5. Zhang, Chao & Zeng, Qi & Dui, Hongyan & Chen, Rentong & Wang, Shaoping, 2025. "Reliability model and maintenance cost optimization of wind-photovoltaic hybrid power systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    6. Firouzi, Mohsen & Samimi, Abouzar & Salami, Abolfazl, 2022. "Reliability evaluation of a composite power system in the presence of renewable generations," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Gjorgiev, Blazhe & Garrison, Jared B. & Han, Xuejiao & Landis, Florian & van Nieuwkoop, Renger & Raycheva, Elena & Schwarz, Marius & Yan, Xuqian & Demiray, Turhan & Hug, Gabriela & Sansavini, Giovanni, 2022. "Nexus-e: A platform of interfaced high-resolution models for energy-economic assessments of future electricity systems," Applied Energy, Elsevier, vol. 307(C).
    8. Murphy, Sinnott & Sowell, Fallaw & Apt, Jay, 2019. "A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Xiao, Hui & Lin, Chen & Kou, Gang & Peng, Rui, 2022. "Reliability modeling and configuration optimization of a photovoltaic based electric power generation system," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    10. Zhang, Jintao & Bagtzoglou, Yiannis & Zhu, Jin & Li, Baikun & Zhang, Wei, 2023. "Fragility-based system performance assessment of critical power infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    11. Jain, Tanmay & Verma, Kusum, 2024. "Reliability based computational model for stochastic unit commitment of a bulk power system integrated with volatile wind power," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    12. Zou, Yanhua & ÄŒepin, Marko, 2024. "Loss of load probability for power systems based on renewable sources," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    13. Gjorgiev, Blazhe & Sansavini, Giovanni, 2022. "Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
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