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Petri Net Model and Reliability Evaluation for Wind Turbine Hydraulic Variable Pitch Systems

Author

Listed:
  • Xiyun Yang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Jinxia Li

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Wei Liu

    (State Nuclear Electric Power Planning Design and Research Institute, Beijing 100094, China)

  • Peng Guo

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

Based on an analysis of the working principles of the hydraulic variable pitch system of a wind turbine, a novel Petri net model and reliability evaluation method are proposed. First, Petri net theory is adopted to build a model for each discrete state of the operation of the hydraulic pitch system of the wind turbine and at the same time a fault Petri net model is established. Then through qualitative analysis and quantitative calculations based on the fault Petri net, the system reliability indexes are obtained. During the qualitative analysis process, in order to more conveniently find the minimal cut sets of the fault Petri net, a Visual C++ 6.0-based algorithm is compiled and the minimal cut sets are tested correctly with another method. During the quantitative calculation process, the fault probability has been obtained from the equations according to the fault probability of libraries and transitions between different states. Not only does the proposed Petri net describe the structure, function and operation of the hydraulic pitch system with a graphic language, but the fault Petri net model can also clearly express the logical relations among faults. The novel Petri net model offers simple calculations and the prospect of broad applicability and the new reliability evaluation method provides an important reference for the performance evaluation of these systems.

Suggested Citation

  • Xiyun Yang & Jinxia Li & Wei Liu & Peng Guo, 2011. "Petri Net Model and Reliability Evaluation for Wind Turbine Hydraulic Variable Pitch Systems," Energies, MDPI, vol. 4(6), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:6:p:978-997:d:12893
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    Citations

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    Cited by:

    1. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    2. Tobi Elusakin & Mahmood Shafiee & Tosin Adedipe & Fateme Dinmohammadi, 2021. "A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-18, February.
    3. Bensaci, Chaima & Zennir, Youcef & Pomorski, Denis & Innal, Fares & Lundteigen, Mary Ann, 2023. "Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    4. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
    5. Nacef Tazi & Eric Châtelet & Youcef Bouzidi, 2017. "Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis," Energies, MDPI, vol. 10(3), pages 1-20, February.
    6. Shafiee, Mahmood & Sørensen, John Dalsgaard, 2019. "Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    7. Unai Elosegui & Igor Egana & Alain Ulazia & Gabriel Ibarra-Berastegi, 2018. "Pitch Angle Misalignment Correction Based on Benchmarking and Laser Scanner Measurement in Wind Farms," Energies, MDPI, vol. 11(12), pages 1-20, December.
    8. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Wang, Xiao-jun & Lei, Peng-fei, 2015. "Design, modeling and implementation of a novel pitch angle control system for wind turbine," Renewable Energy, Elsevier, vol. 81(C), pages 599-608.
    9. Maria Martinez Luengo & Athanasios Kolios, 2015. "Failure Mode Identification and End of Life Scenarios of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 8(8), pages 1-16, August.

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