A M-EKF fault detection strategy of insulation system for marine current turbine
Résumé
Marine current power is a new renewable energy source, it is significant to keep the marinecurrent turbine healthy. But harsh marine conditions, such as regular thermal cycling, highhumidity and heavy salt mist, bring severe challenges to the marine current turbine, especiallyto the winding insulation system. Therefore, it is of great importance to perform faultdetection on the insulation system. In this paper, a Modified Extended Kalman Filter (MEKF)fault detection strategy based on the electrical parametric model derived from theRLC network modeling of Roebel bars is proposed. The proposed fault detection strategymainly includes two parts. The first step is to establish reasonable state space equationsfor the model structure extracted to monitor the state of the insulation system. In the secondstep, the conventional continuous EKF is modified to follow more accurately the stateof the marine current turbine. Simulation and experiment results show that the proposedmethod can realize timely monitoring of the winding insulation system of marine currentturbine with good performance.