Advanced Monitoring of Wind Turbine

Alexandre Teplaira Boum, Adolph Moukengue Imano and Steve Alan Talla Ouambo

A chapter in Wind Solar Hybrid Renewable Energy System from IntechOpen

Abstract: This chapter presents a general framework for the doubly fed induction generator (DFIG). We apply and analyze the behavior of three estimation techniques, which are the unscented Kalman filter (UKF), the high gain observer (HGO) and the moving horizon estimation (MHE). These estimations are used for parameters estimation of the doubly fed induction generator (DFIG) driven by wind turbine. A comparison of those techniques has been made under different aspects notably, computation time and estimation accuracy in two modes of operation of the DFIG, the healthy mode and the faulty mode. The performance of the MHE has been clearly superior to other estimators during our experiments. These estimation tools can be used for monitoring purposes.

Keywords: doubly-fed induction generator; high gain observer; unscented Kalman filter; moving horizon estimation; parameters estimation; monitoring (search for similar items in EconPapers)
JEL-codes: Q20 Q40 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:185064

DOI: 10.5772/intechopen.84840

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