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A Review Article on Fault-Tolerant Control (FTC) and Fault Detection Isolation (FDI) Schemes of Wind Turbine

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Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 476))

Abstract

Presently, the governments throughout the world are funding abundantly to promote the use of renewable energy in order to meet the growing demand of power, and overcome environmental pollution related issues as well as reduce dependency on the depleting fossil fuel reserves. One of the major contributors of renewable energy source is wind energy turbines. They are considerably preferred because of the desired levels of reliability, efficiency, and availability of source, i.e., wind. There are few key technologies adopted to ensure their reliability and efficiency of operation of modern wind turbines which are advanced health monitoring and diagnosis together with fault-tolerant control (FTC) and optimal control. This paper is a review of several such mentioned technologies on wind turbine. Among them, the main focus is given on FTC and FDI of wind turbine using several methods. This paper as such creates a wholistic study on different methods of fault reduction, control, and detection of fault as well as isolation of faults and their effects on the performance of wind turbine.

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References

  1. http://www.gwec.net/“Global Wind Energy Council”. (2009, Jan. 24). [Online]. Available.

  2. Peter Fogh Odgaard, member IEEE, Jakob Stoustrup & Michel Kinnaert, “Fault tolerant control of wind turbines: a benchmark model”.

    Google Scholar 

  3. Ahmet Arda Ozdemir, Peter Seiler, and Gary J. Balas “Wind Turbine Fault Detection Using Counter-Based Residual Thresholding”.

    Google Scholar 

  4. P. Casau, P. Rosa, S. M. Tabatabaeipour, C. Silvestre, “Fault Detection and Isolation and Fault Tolerant Control of Wind Turbines using Set-Valued Observers” 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS) August 29-31, 2012. Mexico City, Mexico.

    Google Scholar 

  5. Carl Svärd,Mattias Nyberg “Automated Design of an FDI-System for the Wind Turbine Benchmark”.

    Google Scholar 

  6. R. Chedid, Member IEEE, F. Mrad, Member IEEE, M. Basma, “Intelligent control of a class of wind energy conversion systems”, IEEE transaction on energy conversion, Vol. 14, No. 4, December 1999.

    Google Scholar 

  7. Christoffer Sloth, Thomas Esbensen and Jakob Stoustrup, “Active and passive fault tolerant LPV control of wind turbines”, 2010 American control conference, June 30-July 02, 2010.

    Google Scholar 

  8. X. Yang, J.M. Maciejowski, “Fault-tolerant model predictive control of a wind turbine benchmark”, Cambridge University Engineering Dept., Cambridge CB2 1PZ, UK.

    Google Scholar 

  9. Fariborz Kiasi, Jagdeesan Prakash, Jong Min Lee and Sirish L. Shah, “Model based fault tolerant control using the marginalized likelihood ratio test”, 2010 conference on control and fault tolerant systems, Nice, France, October 6-8, 2010.

    Google Scholar 

  10. Damiano Rotondo, Fatiha, Nejjari, Vicenç Puig, Joaquim Blesa. 8th IFAC Symposium on Fault Detection, August 29-31, 2012. Mexico City, Mexico “Fault Tolerant Control of the Wind Turbine Benchmark using Virtual Sensors/Actuators”.

    Google Scholar 

  11. Montadher Sami* and Ron J. Patton, “An FTC Approach to Wind Turbine Power Maximisation via T-S Fuzzy Modelling and Control”, 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS) August 29-31, 2012. Mexico City, Mexico.

    Google Scholar 

  12. Silvio Simani, Paolo Castaldi “Adaptive Fault–Tolerant Control Design Approach for a Wind Turbine Benchmark”,, 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS) August 29-31, 2012. Mexico City, Mexico.

    Google Scholar 

  13. Jiyeon Kim, Inseok Yang, and Dongik Lee, “Control Allocation based Compensation for Faulty Blade Actuator of Wind Turbine”, 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), August 29-31, 2012. Mexico City, Mexico.

    Google Scholar 

  14. Li Wang, Senior Member, IEEE and Dinh-Nhon Truong, “Stability enhancement of DFIG-based off shore wind farm fed to a multi machine system using a STATCOM”, IEEE transactions on power systems, 2013.

    Google Scholar 

  15. F. Kiasi, J. Prakash, S. L. Shah, and J. M. Lee “Fault Detection and Isolation of a Benchmark Wind Turbine using the Likelihood Ratio Test”.

    Google Scholar 

  16. Xiaodong Zhang, Qi Zhang, Songling Zhao, Riccardo Ferrari, Marios M. Polycarpou, and Thomas Parisini “Fault Detection and Isolation of the Wind Turbine Benchmark: an Estimation-based Approach”.

    Google Scholar 

  17. Nassim Laouti, Nida Sheibat-Othman “Support Vector Machines for Fault Detection in Wind Turbines”. Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011.

    Google Scholar 

  18. Silvio Simani, Paolo Castaldi, Marcello Bonfe “Hybrid Model–Based Fault Detection of Wind Turbine Sensors”, Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011.

    Google Scholar 

  19. W. Chen, S. X. Ding, A. Haghani, A. Naik, A. Q. Khan, S. Yin. “Observer-based FDI Schemes for Wind Turbine Benchmark” Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011.

    Google Scholar 

  20. Florin Stoican, Catalin Florentin Raduinea, Sorin Olaru. “Adaptation of set theoretic methods to the fault detection of a wind turbine Benchmark” Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011.

    Google Scholar 

  21. Pierluigi Pisu and Beshah Ayalew, “Data Driven Fault Detection and Isolation of a Wind Turbine Benchmark”.

    Google Scholar 

  22. Silvio Simani1, Paolo Castaldi, and Andrea Tilli. “Data–driven Modelling of a Wind Turbine Benchmark for Fault Diagnosis Application”. Transaction on Control and Mechanical Systems, Vol. 1, NO. 7, PP. 278-289, NOV., 2012.

    Google Scholar 

  23. Silvio Simani “Data–Driven Design of a PI Fuzzy Controller for a Wind Turbine Simulated Model”. IFAC Conference on Advances in PID Control PID’12 Brescia (Italy), March 28-30, 2012.

    Google Scholar 

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Correspondence to Chitrita Saha .

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Saha, C., Singh, A.K. (2019). A Review Article on Fault-Tolerant Control (FTC) and Fault Detection Isolation (FDI) Schemes of Wind Turbine. In: Nath, V., Mandal, J. (eds) Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Lecture Notes in Electrical Engineering, vol 476. Springer, Singapore. https://doi.org/10.1007/978-981-10-8234-4_9

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  • DOI: https://doi.org/10.1007/978-981-10-8234-4_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8233-7

  • Online ISBN: 978-981-10-8234-4

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