Development of Wind Turbine Fault Analysis Setup based on DFIG Hardware in the Loop Simulator

Kamarzarrin, M.; Refan, M.H.; Amiri, P.; Dameshghi, A.

doi:10.22061/jecei.2022.8849.556

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	Development of Wind Turbine Fault Analysis Setup based on DFIG Hardware in the Loop Simulator
Journal of Electrical and Computer Engineering Innovations (JECEI)
دوره 11، شماره 2، مهر 2023، صفحه 277-290 اصل مقاله (2.16 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2022.8849.556
نویسندگان
M. Kamarzarrin¹؛ M.H. Refan^* ²؛ P. Amiri²؛ A. Dameshghi²
¹Electronics Engineering Department, Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
²Electronics Engineering Department, Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
تاریخ دریافت: 25 تیر 1401، تاریخ بازنگری: 07 آبان 1401، تاریخ پذیرش: 16 آبان 1401
چکیده
Background and Objectives: Renewable energy, like wind turbines, is growing rapidly in the world today due to environmental pollution, so their maintenance plans are very important. Fault diagnosis and fault-tolerant approaches are typical methods to reduce the cost of energy production and downtime of Wind Turbines (WTs). Methods: In this paper, a new Hardware In the Loop (HIL) simulator based on Double Feed Induction Generator (DFIG) for fault diagnosis and fault-tolerant control is proposed. The system developed as a laboratory bed uses a generator with a power of about 90 kW, which is connected from two sides to a back-to-back power converter with a power of one-third of the generator power. The generator is connected to a motor as a propulsion and wind energy replacement with a power of about 110 kW, and this connection is established through a gearbox with a gear ratio of more than three. Results: The effectiveness of the proposed simulator is evaluated based on different fault representations back-to-back converter and generator. Conclusion: The experiment shows that the Condition Based Maintenance (CBM) is improved by the proposed simulator and the fault is modeled before serious damage occurs. This setup is effective for the development of wind turbine fault analysis software. As the testing on real WTs is very expensive, to improve and develop the research fields of condition monitoring and WT control, this low-cost setup is effective.
کلیدواژه‌ها
Wind Turbine؛ HIL؛ DFIG؛ Rotor Electrical Asymmetry؛ IGBT open-circuit

مراجع
[1] M. Kamarzarrin, M. H. Refan, “Intelligent sliding mode adaptive controller design for wind turbine pitch control system using PSO-SVM in presence of disturbance,” J. Control Autom. Electr. Syst., 31(4): 912-925, 2020. [2] M. H. Refan, A. Dameshghi, “A new strategy for short-term power-curve prediction of wind turbine based on PSO-LS-WSVM,” Iran. J. Electr. Electron. Eng., 4: 392-403, 2018. [3] M. Kamarzarrin, M. H. Refan, P. Amiri, A. Dameshghi, “Fault diagnosis of wind turbine double-fed induction generator based on multi-level fusion and measurement of back-to-back converter current signal,” Iran. J. Electr. Electron. Eng., 18(2): 2074-2074, 2022. [4] A. Dameshghi, M. H. Refan, “Wind turbine gearbox condition monitoring and fault diagnosis based on multi-sensor information fusion of SCADA and DSER-PSO-WRVM method,” Int. J. Model. Simul., 39: 48-72, 2019. [5] A. Dameshghi, M. H. Refan, “Combination of condition monitoring and prognosis systems based on the current measurement and PSO-LS-SVM method for wind turbine DFIGs with rotor electrical asymmetry,” Energy Syst., 2: 1-30, 2021. [6] J. M. P. Pérez, F. P. G. Márquez, A. Tobias, M. Papaelias, “Wind turbine reliability analysis,” Renewable Sustainable Energy Rev., 23: 463-472, 2013. [7] T. A. Kawady, A. A. Afify, A. M. Osheiba, A. I. Taalab, “Modeling and experimental investigation of stator winding faults in induction motors,” Electr. Power Compon. Syst., 37: 599-611, 2009. [8] D. Zappalá, N. Sarma, S. Djurović, C. J. Crabtree, A. Mohammad, P. J. Tavner, “Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults,” Renewable energy, 131: 14-24, 2019. [9] M. Wilkinson, B. Darnell, T. Van Delft, K. Harman, “Comparison of methods for wind turbine condition monitoring with SCADA data,” IET Renewable Power Gener., 8: 390-397, 2014. [10] F. Haces-Fernandez, H. Li, D. Ramirez, “Improving wind farm power output through deactivating selected wind turbines,” Energy Convers. Manage., 187: 407-422, 2019. [11] K. B. Abdusamad, Condition Monitoring System of Wind Turbine Generators. PHD thesis, University of Durham, 2014. [12] K. Alewine, W. Chen, “A review of electrical winding failures in wind turbine generators,” IEEE Electr. Insul. Mag., 28:8-13, 2012. [13] J. M. P. Pérez, F. P. G. Márquez, A. Tobias, M. Papaelias, “Wind turbine reliability analysis,” Renewable Sustainable Energy Rev., 23: 463-472, 2013. [14] L. Alhmoud, B. Wang, “A review of the state-of-the-art in wind-energy reliability analysis,” Renewable Sustainable Energy Rev., 81: 1643-1651, 2018. [15] C. J. Crabtree, Condition Monitoring Techniques for Wind Turbines. PhD Thesis, Durham University, 2011. [16] W. Hu, “Reliability-based design optimization of wind turbine systems,” Advanced Wind Turbine Technology, Springer, Cham, 1-45, 2018. [17] M. Yadav, P. Prakash, R. C. Jha, “Reliability analysis and energy benefit analysis of distribution system incorporating wind turbine generator,” in Proc. the International Conference on Nano-electronics, Circuits & Communication Systems: 265-273, 2017. [18] M. Kamarzarrin, M. H. Refan, P. Amiri, A. Dameshghi, “A new intelligent fault diagnosis and prognosis method for wind turbine doubly-fed induction generator,” Wind Eng., 10: 210-221, 2021. [19] A. Dameshghi, M. H. Refan, P. Amiri, “Wind turbine doubly fed induction generator rotor electrical asymmetry detection based on an adaptive least mean squares filtering of wavelet transform,” Wind Eng., 8: 1-21, 2019. [20] M. Kamarzarrin, M. H. Refan, P. Amiri, A. Dameshghi, “A new fault-tolerant control of wind turbine pitch system based on ANN model and robust and optimal development of MRAC method,” Tabriz Electr. Eng. J., 51: 83-95, 2021. [21] W. T. Thomson, M. Fenger, “Current signature analysis to detect induction motor faults,” IEEE Ind. Appl. Mag., 7: 26-34, 2001. [22] C. J. Crabtree, S. Djurović, P. J. Tavner, A. C. Smith, “Fault frequency tracking during transient operation of wind turbine generators,” in Proc. XIX International Conference on Electrical Machines, ICEM 2010, Rome, Italy, 2010. [23] S. Djurovic, C. J. Crabtree, P. J. Tavner, A. C. Smith, “Condition monitoring of wind turbine induction generators with rotor electrical asymmetry,” IET Renew. Power Gen., 6: 207-216, 2012. [24] X. Gong, Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines. PHD Thesis, University of Nebraska, 2012. [25] M. Yousefi kia, M. Khedri, H. R. Najafi, M. A. Shamsi Nejad, “Hybrid modeling of doubly fed induction generators with inter-turn stator fault and its detection method using wavelet analysis,” IET Gener. Transm. Distrib., 7: 982-990, 2013. [26] R. Roshanfekr, A. Jalilian, “Analysis of rotor and stator winding inter-turn faults in WRIM using simulated MEC model and experimental results,” Electr. Power Syst. Res., 119: 418–424, 2015. [27] R. Roshanfekr, A. Jalilian, “Wavelet-based index to discriminate between minor inter-turn short-circuit and resistive asymmetrical faults in stator windings of doubly fed induction generators: a simulation study,” IET Gener. Transm. Distrib., 10: 1–8, 2016. [28] P. V. Rodríguez, A. Arkkio, “Detection of the stator winding fault in induction motor using fuzzy logic,” Appl. Soft Comput., 8: 1112–1120, 2008. [29] R. Sharifi, M. Ebrahimi, “Detection of the stator winding faults in induction motors using three-phase current monitoring,” ISA Trans., 50: 14–20, 2011. [30] A. Bechkaouia, A. Ameurb, S. Bourasc, A. Hadjadjd, “Open-circuit and inter-turn short-circuit detection in PMSG for wind turbine applications using fuzzy logic,” Energy Procedia, 74: 1323–1336, 2015. [31] M. S. Ballal, Z. J. Khan, H. M. Suryawanshi, R. L. Sonolikar, “Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor,” IEEE Trans. Ind. Electron., 54: 250-258, 2007. [32] A. Djerdira, S. S. Moosavia, Y. Ait-Amiratb, D. A. Khaburica, “ANN based fault diagnosis of permanent magnet synchronous motor under stator winding shorted turn,” Electr. Power Syst. Res., 125: 67–82, 2015. [33] R. M. Tallam, S. B. Lee, G. C. Stone, “A survey of methods for detection of stator-related faults in induction machines,” IEEE Trans. Ind. Appl., 43: 920-933, 2007. [34] A. Dameshghi, M. H. Refan, “The fault diagnosis of open-circuit of back-to-back converters in dfig wind turbines of variable speed using combination signal-based and model-based methods,” J. Energy Manage., 9: 18-33, 2019. [35] M. Kamarzarrin, M. H. Refan, P. Amiri, “Open-circuit faults diagnosis and Fault-Tolerant Control scheme based on Sliding-Mode Observer for DFIG back-to-back converters: Wind turbine applications,” Control Eng. Prac., 126: 105235, 2023. [36] A. Dameshghi, “Wind turbine generator and converter maintenance based on smart monitoring based on data fusion strategy”, Ph.D. thesis, Shahid Rajaee Teacher Training University, 2019. [37] M. Kamarzarrin, “Enhanced Fault Tolerant of Dual Open-circuit Faults with Back-to-Back converter of DFIG Wind Turbine”, Ph.D. thesis, Shahid Rajaee Teacher Training University, 2022.
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Development of Wind Turbine Fault Analysis Setup based on DFIG Hardware in the Loop Simulator