Estimation of V47/660kW Wind Turbine State and Fault Detection with Extended Kalman Filter

In this paper we study Fault Detection of Wind Turbine. The wind turbine in this study is V47/660kW that is installed in Manjil wind farm in Gilan province. In this article, various parts of the wind turbine, including the pitch angle actuator, rotor speed sensor and generator speed sensor, have been investigated. In fact, fault detection has been done for these three turbine components. For this purpose, the Extended Kalman Filter has been used. Extended kalman filter is one of the most efficient estimators to be used in fault detection process and estimation of wind turbine state. Fault detection is done according to the residual generation. The residual is the difference between the state/output of actual system and the state/output of estimated system using the extended kalman filter. After the production of the residual, we study the occurrence and non-occurrence of fault in the wind turbine. We use Math work Laboratory software in this paper.