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Review and classification of reliability indicators for power systems with a high share of renewable energy sources

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  • Heylen, Evelyn
  • Deconinck, Geert
  • Van Hertem, Dirk

Abstract

Power systems with a high share of renewable energy sources face new challenges with respect to reliability management. Scientific literature argues that a paradigm shift is needed in terms of reliability management to efficiently integrate a large amount of renewable energy sources and the required flexibility services. Reliability management involves the use of indicators to support system operation and to assess its performance. Many indicators (proposed to be) used in power system reliability management are presented in technical and scientific literature. To coordinate the development, selection and use of indicators in power systems with a high share of renewable energy sources, this paper presents a structured and consistent overview of the characteristics and the scope of indicators currently in use and available in the literature. A transparent way to characterize indicators is proposed. Available indicators are analyzed in terms of the generic properties of an adequate indicator: relevance in the context of evolving reliability management, ease of use, data availability and reliability determined by the data accuracy. Based on this analysis, missing indicators, shortcomings of existing indicators and directions for future work in a practical and scientific context are identified.

Suggested Citation

  • Heylen, Evelyn & Deconinck, Geert & Van Hertem, Dirk, 2018. "Review and classification of reliability indicators for power systems with a high share of renewable energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 554-568.
    • Handle: RePEc:eee:rensus:v:97:y:2018:i:c:p:554-568
    DOI: 10.1016/j.rser.2018.08.032
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    Citations

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    Cited by:

    1. Patel, Alpesh M. & Singal, Sunil Kumar, 2019. "Optimal component selection of integrated renewable energy system for power generation in stand-alone applications," Energy, Elsevier, vol. 175(C), pages 481-504.
    2. Shang, Ce & Lin, Teng & Li, Canbing & Wang, Keyou & Ai, Qian, 2021. "Joining resilience and reliability evaluation against both weather and ageing causes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(C).
    4. Colla, Martin & Ioannou, Anastasia & Falcone, Gioia, 2020. "Critical review of competitiveness indicators for energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    5. Al-Ghussain, Loiy & Abubaker, Ahmad M. & Darwish Ahmad, Adnan, 2021. "Superposition of Renewable-Energy Supply from Multiple Sites Maximizes Demand-Matching: Towards 100% Renewable Grids in 2050," Applied Energy, Elsevier, vol. 284(C).
    6. Kosmas A. Kavadias & Panagiotis Triantafyllou, 2021. "Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools," Energies, MDPI, vol. 14(24), pages 1-28, December.
    7. Ahmed Gailani & Maher Al-Greer & Michael Short & Tracey Crosbie & Nashwan Dawood, 2020. "Lifetime Degradation Cost Analysis for Li-Ion Batteries in Capacity Markets using Accurate Physics-Based Models," Energies, MDPI, vol. 13(11), pages 1-21, June.
    8. 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).
    9. Dong, Zhe & Li, Bowen & Li, Junyi & Huang, Xiaojin & Zhang, Zuoyi, 2022. "Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    10. Mariia Kozlova & Alena Lohrmann, 2021. "Steering Renewable Energy Investments in Favor of Energy System Reliability: A Call for a Hybrid Model," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    11. Buchmayr, A. & Verhofstadt, E. & Van Ootegem, L. & Sanjuan Delmás, D. & Thomassen, G. & Dewulf, J., 2021. "The path to sustainable energy supply systems: Proposal of an integrative sustainability assessment framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    12. Seck, Gondia Sokhna & Krakowski, Vincent & Assoumou, Edi & Maïzi, Nadia & Mazauric, Vincent, 2020. "Embedding power system’s reliability within a long-term Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by 2050," Applied Energy, Elsevier, vol. 257(C).
    13. 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).
    14. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Khosroshahi, Hossein, 2023. "A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions," Energy, Elsevier, vol. 282(C).
    15. Beyza, Jesus & Yusta, Jose M., 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    16. Söder, Lennart & Tómasson, Egill & Estanqueiro, Ana & Flynn, Damian & Hodge, Bri-Mathias & Kiviluoma, Juha & Korpås, Magnus & Neau, Emmanuel & Couto, António & Pudjianto, Danny & Strbac, Goran & Burke, 2020. "Review of wind generation within adequacy calculations and capacity markets for different power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).

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