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Study on the influence of backlash phenomenon on wind turbine power using bond graph approach

  • Ramdane Adlene
  • Lachouri Abderrazak
Technical Paper
  • 59 Downloads

Abstract

This work presents a multi-body model for studying the influence of backlash phenomenon on wind energy using a bond graph approach. This analysis is carried out in two steps; first, the residual technique is used to discriminate between the healthy and the abnormal operating mode. The second one consists in using energy levels calculated from the spectral energy of the residual signals using a moving Hanning window to estimate the faults amplitude. Simulations tests verify the effect of the backlash magnitude on the good functioning of the wind turbine and indicate that the backlash within a certain range has little effect on the wind energy but with the enlargement of backlash, the dynamic response of the system is significantly changed.

Keywords

Bond graph Modelling Backlash fault Induction generator Gear box and wind turbine 

References

  1. 1.
    Djeziri A, Merzouki A, Ouldbouamama B, Dauphin-Tanguy G (2007) Bond graph model based for robust fault diagnosis. IEEE, pp 1-4244-0989-6/07Google Scholar
  2. 2.
    Umesh Rai B, Umanand L (2009) Bond graph toolbox for handling complex variable. IET Control Theory Appl 3(5):551–560CrossRefGoogle Scholar
  3. 3.
    Ramdane A, Lachouri A (2015) Modelling and simulation of wind turbine using bond graph approach. J Renew Energy Sustain Dev (RESD)1(2). ISSN 2356-8569Google Scholar
  4. 4.
    Bekker JC (2012) Efficient modelling of a wind turbine system for parameter estimation applications. ThesisGoogle Scholar
  5. 5.
    Rechka S, Roy G, Dennetiere S, Mahseredian J (2004) Modélisation de systèmes électromécanique multi-masses à base de machines asynchrones, à l’aide des outils MATLAB et EMTP, avec Application aux éoliennes. École Polytechnique, Montréal, EPM–RT–2004-04Google Scholar
  6. 6.
    Kendouli F, Nabti K, Abed K, Benella H (2011) Modélisation, simulation et contrôle d’une turbine éolienne à vitesse variable basée sur la génératrice. Revue des Energies Renouvelables 14(N°1):109–120Google Scholar
  7. 7.
    Chitti Babu B, Monhanty KB (2010) Doubly-fed induction generator for variable speed wind energy conversion systems- modelling and simulation. Int J Comput Electr Eng 2(1):1793–8163Google Scholar
  8. 8.
    Junco S, Dieguez G, Ramirez F (2008) une librairie 20-sin pour la simulation basée bond graphs de système de commande des machines. cifa_2008_T18-I-07-0338 Google Scholar
  9. 9.
    Ramdane A, Lachouri A (2014) Modelling, simulation and diagnosis of mechatronics system by bond graph approach. In: International conference on technological advances in electrical engineering SkikdaGoogle Scholar
  10. 10.
    Zarbita S, Lachouri A, Boukadoum A (2015) A new approach of fast fault detection in HV-B transmission lines based. Electr Power Energy Syst 73:568–575CrossRefGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  1. 1.Automatic Laboratory, Mechanical Engineering DepartmentUniversity of 20 August 1955SkikdaAlgeria
  2. 2.Automatic Laboratory, Electrical Engineering DepartmentUniversity of 20 August 1955SkikdaAlgeria

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