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A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems

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  • Yang, Zhimin
  • Chai, Yi

Abstract

Wind energy is one of the most rapidly developing renewable energy sources during the past decade, supplying about 3% of global electricity consumption. Consequently, the power level and individual capacity of power converters in wind turbines (WTs) keep increasing. However, due to the severe operational environment and varying operational conditions, wind power converters (WPCs) are subjected to different sorts of component failures. According to the statistics, the failure rate of WPC is much higher than that of mechanical components and generator in wind energy conversion system (WECS). In an attempt to reduce system downtime and avoid catastrophic failure, the fault diagnosis (FD) of onshore grid-connected converters has gained increasing attention. Accordingly, this paper aims at presenting a state-of-the-art review on wind converter FDs including both model based and pattern based methods. It intends to provide a wide spectrum on converter operating stress, component failure modes, algorithm performance requirements, FDs for different converter topologies, and challenges in designing FDs. The main purpose of this paper is to provide the current research status of converter FDs and relevant references for the researchers in this area.

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  • Yang, Zhimin & Chai, Yi, 2016. "A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 345-359.
  • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:345-359
    DOI: 10.1016/j.rser.2016.08.006
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    Cited by:

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    7. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    8. Kouadri, Abdelmalek & Hajji, Mansour & Harkat, Mohamed-Faouzi & Abodayeh, Kamaleldin & Mansouri, Majdi & Nounou, Hazem & Nounou, Mohamed, 2020. "Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems," Renewable Energy, Elsevier, vol. 150(C), pages 598-606.
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    10. Sen Song & Yihua Hu & Kai Ni & Joseph Yan & Guipeng Chen & Huiqing Wen & Xianming Ye, 2018. "Multi-Port High Voltage Gain Modular Power Converter for Offshore Wind Farms," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    11. Yashar Mousavi & Geraint Bevan & Ibrahim Beklan Küçükdemiral & Afef Fekih, 2021. "Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller," Energies, MDPI, vol. 14(18), pages 1-16, September.
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    13. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Xu Wang & Yanxia Shen, 2019. "Fault Tolerant Control of DFIG-Based Wind Energy Conversion System Using Augmented Observer," Energies, MDPI, vol. 12(4), pages 1-12, February.
    15. Martín Antonio Rodríguez Licea & Francisco Javier Pérez Pinal & Allan Giovanni Soriano Sánchez, 2021. "An Overview on Electric-Stress Degradation Empirical Models for Electrochemical Devices in Smart Grids," Energies, MDPI, vol. 14(8), pages 1-23, April.
    16. Zahra Yahyaoui & Mansour Hajji & Majdi Mansouri & Kamaleldin Abodayeh & Kais Bouzrara & Hazem Nounou, 2022. "Effective Fault Detection and Diagnosis for Power Converters in Wind Turbine Systems Using KPCA-Based BiLSTM," Energies, MDPI, vol. 15(17), pages 1-19, August.
    17. Bakdi, Azzeddine & Kouadri, Abdelmalek & Mekhilef, Saad, 2019. "A data-driven algorithm for online detection of component and system faults in modern wind turbines at different operating zones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 546-555.

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