Artificial Intelligence-Based Fault Tolerant Control Strategy in Wind Turbine Systems

Amina bzkr, Allaoui Tayeb, Denai Mouloud, Mihoub Youcef


Power converters play an important role as an enabling technology in the electric power industry, especially in Wind Energy Systems (WESs). Where there ensure to regulate exchanging powers between the system and the grid. Therefore; any fault occurs in any parts of these converters for a limited time without eliminating, it may degrade the system stability and performance.

This paper presents a new artificial intelligence-based detection method of open switch faults in power converters connecting doubly-fed induction (DFIG) generator wind turbine systems to the grid. The detection method combines a simple Fault Tolerant Control (FTC) strategy with fuzzy logic and uses rotor current average values to detect the faulty switch in a very short period of time. In addition, following a power switch failure, the FTC strategy activates the redundant leg and restores the operation of the converter. In order to improve the performance of the closed-loop system during transients and faulty conditions, current control is based on a PI (proportional-integral) controller optimized using genetic algorithms. The simulation model was developed in Matlab/Simulink environment and the simulation results demonstrate the effectiveness of the proposed FTC method and closed-loop current control scheme.

Total Views: 105


Doubly Fed Induction Generator (DFIG); Wind Turbine; Open Switch Fault; Fuzzy Logic; Maximum Power Point Tacking (MPPT); Grid Side Converter; Genetic Algorithm; Fault Tolerant Control (FTC).

Full Text:



International Energy Agency (IEA), Medium-Term Renewable Energy Market Report 2015 (MTRMR), Market Analysis and Forecasts to 2020.

R. Pena, J. Clare, and C. Asher, “Double fed induction generator using back-to-back PWM converter and its application to variable-speed wind-energy generation”, IEE Proceedings - Electric Power Applications , vol.143, pp.231–241. 1996.

S. Muller, M. Deicke, and R. Doncker, “Doubly fed induction generator systems for wind turbines”, IEEE Industry Applications Magazine, vol. 17, pp. 26–33, 2002.

E.W. Fuchs, “Some diagnosis methods for voltage source inverters in variable speed drives with induction machines-A survey”, In Proceedings of the 29th Annual Conference of the IEEE ON Industrial Electronics Society. USA and Canada. pp. 1378 – 1385, 2003.

L. Bin, and K. Sharma. “A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters”, IEEE Transactions on Industry Applications. Vol. 45, pp. 1770 – 1777, 2009.

P. Sarati Das and K. Kyeong-Hwa, “Real-Time Multiple Open-Switch Fault Diagnosis in Three-phase AC/DC PWM Converter for PMSG Based Grid-Connected Wind Power Generation System” International Journal of Control and Automation Vol.7, No.9, pp.329-344, 2014.

S. Khomfoi and L. M. Tolbert, “Fault diagnostic system for a multilevel inverter using a neural network,” IEEE Trans. Power Electronics, Vol.22, No. 3, pp. 1062-1069, May 2007.

A. Mirecki, X. Roboam, F. Richardeau, “Comparative Study of Maximum Power Strategy in Wind Turbines”, IEEE Trans. Ind. Electronics. Vol. 2, pp. 993-998, May 2004.

R. D. Shukla, R. K. Tripathi, “Maximum Power Extraction Schemes and Power Control in Wind Energy Conversion System, “International Journal of Scientific and Engineering Research, Vol.3. Issue 6, June 2012.

Y. Djeriri, A. Meroufel, A. Massoum and Z. Boudjema, “A Comparative Study Between Field Oriented ControlStrategy and Direct Power Control Strategy for DFIG”, Journal of Electric Engineering.

M. Chebre, A. Meroufel and Y. Bendaha, “Speed control of induction motor using genetic algorithm based PI controller indirect field oriented control of the IM [J]”, Acta Polytechnica Hungarica, vol. 8, pp. 141-153, 2011.

L. Fan and E. Meng Joo, ”Design for Auto-tuning PID Controller Based on Genetic Algorithms”, 4th IEEE Conference: Industrial Electronics and Applications, 25-27 May 2009.

D. Grahame Holmes and Thomas A. Lipo “Pulse Width Modulation for Power Converters Principles and Practice”, Australia: 1st edn. Wiley–IEEE Press, Piscataway, ch.1, October 2003.

R. L. A. Ribeiro, C. B. Jacobina, E. R. C. Silva and A. M. N. Lima, “Fault Detection of Open-switch Damage in Voltage-fed PWM Motor Drive Systems”, IEEE Trans. on Power Elecronics, vol. 18, no. 2, 2003.

Zadeh, L. A, “Fuzzy logic. Computer”, vol. 21, pp. 83-84, April, 1988.


  • There are currently no refbacks.

Online ISSN: 1309-0127;;

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Thomson Reuters)