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A review of the state-of-the-art in wind-energy reliability analysis

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  • Alhmoud, Lina
  • Wang, Bingsen

Abstract

Reliability analysis can help to identify, classify, and investigate several issues and concepts that arise in wind-energy systems. In this review, we focus on six important aspects according to available literature. First, we focus true reliability model of wind turbines, where different repair models lead to different mathematical models or stochastic processes, some of which are described by point processes, homogenous Poisson process (HPP), and non-homogenous Poisson process (NHPP). Next, we discuss the meaning of the Bathtub curve. Then, we review the role of health-management systems, which are an integral component of wind systems, and which ensure high turbine availability and reliability. The resulting health state is a reflection of the wind systems capability, which can be very useful to wind farm (WF) managers for optimizing the scheduling of maintenance-related activities. Then, we present some reliability testing protocols. A primary objective of reliability analysis is to gain feedback for improving designs. We describe a general design for obtaining the reliability estimation of structural components, and we explain the scale for severity classifications. Finally, we conduct a detailed literature survey to investigate and summarize the research done in wind-reliability analyses.

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  • Alhmoud, Lina & Wang, Bingsen, 2018. "A review of the state-of-the-art in wind-energy reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1643-1651.
    • Handle: RePEc:eee:rensus:v:81:y:2018:i:p2:p:1643-1651
    DOI: 10.1016/j.rser.2017.05.252
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    References listed on IDEAS

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    1. Zhang, Cai Wen & Zhang, Tieling & Chen, Nan & Jin, Tongdan, 2013. "Reliability modeling and analysis for a novel design of modular converter system of wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 86-94.
    2. Pierre Tchakoua & René Wamkeue & Mohand Ouhrouche & Fouad Slaoui-Hasnaoui & Tommy Andy Tameghe & Gabriel Ekemb, 2014. "Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges," Energies, MDPI, vol. 7(4), pages 1-36, April.
    3. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
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    Cited by:

    1. Zhang, Jun & Du, Xiong & Qian, Cheng, 2021. "Lifetime improvement for wind power generation system based on optimal effectiveness of thermal management," Applied Energy, Elsevier, vol. 286(C).
    2. Li, Jianlan & Zhang, Xuran & Zhou, Xing & Lu, Luyi, 2019. "Reliability assessment of wind turbine bearing based on the degradation-Hidden-Markov model," Renewable Energy, Elsevier, vol. 132(C), pages 1076-1087.
    3. Manisha Sawant & Sameer Thakare & A. Prabhakara Rao & Andrés E. Feijóo-Lorenzo & Neeraj Dhanraj Bokde, 2021. "A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics," Energies, MDPI, vol. 14(8), pages 1-30, April.
    4. José Genaro González-Hernández & Rubén Salas-Cabrera, 2022. "Duty Cycle-Rotor Angular Speed Reverse Acting Relationship Steady State Analysis Based on a PMSG d–q Transform Modeling," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
    5. Zamani Gargari, Milad & Ghaffarpour, Reza, 2020. "Reliability evaluation of multi-carrier energy system with different level of demands under various weather situation," Energy, Elsevier, vol. 196(C).
    6. Aghaei, M. & Fairbrother, A. & Gok, A. & Ahmad, S. & Kazim, S. & Lobato, K. & Oreski, G. & Reinders, A. & Schmitz, J. & Theelen, M. & Yilmaz, P. & Kettle, J., 2022. "Review of degradation and failure phenomena in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    7. Daniel C. C. Crisóstomo & Thiago F. do Nascimento & Evandro A. D. F. Nunes & Elmer Villarreal & Ricardo Pinheiro & Andrés Salazar, 2022. "Fuzzy Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems," Energies, MDPI, vol. 15(19), pages 1-21, September.
    8. Dillan Kyle Ockhuis & Maarten Kamper, 2021. "Potential of Slip Synchronous Wind Turbine Systems: Grid Support and Mechanical Load Mitigation," Energies, MDPI, vol. 14(16), pages 1-15, August.
    9. Thiago F. do Nascimento & Evandro A. D. F. Nunes & Elmer R. L. Villarreal & Ricardo F. Pinheiro & Andrés O. Salazar, 2022. "Performance Analysis of an Electromagnetic Frequency Regulator under Parametric Variations for Wind System Applications," Energies, MDPI, vol. 15(8), pages 1-27, April.
    10. Eryilmaz, Serkan & Devrim, Yilser, 2019. "Theoretical derivation of wind plant power distribution with the consideration of wind turbine reliability," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 192-197.
    11. 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).
    12. Aqachmar, Zineb & Allouhi, Amine & Jamil, Abdelmajid & Gagouch, Belgacem & Kousksou, Tarik, 2019. "Parabolic trough solar thermal power plant Noor I in Morocco," Energy, Elsevier, vol. 178(C), pages 572-584.
    13. Eryilmaz, Serkan & Navarro, Jorge, 2022. "A decision theoretic framework for reliability-based optimal wind turbine selection," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

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    Keywords

    Wind; Energy; Reliability; Failure;
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