Fault Detection and Classification of Grid Connected Wind Farm (DFIG) Using Fuzzy Logic Controller

Wind farms employing DFIG are the most important and budding source of renewable energy because of their low maintenance cost and high efficiency. Limited research works are available to monitor fault detection and classification. This paper deals with a 9MW wind power plant implementing a doubly-fed induction generator that feeds power to 120 kV, 50Hz utility grid. A doubly fed 30 km transmission line connects the wind park and grid. The simulation results of the proposed FIS based fault detection and classification scheme in MATLAB Simulink for different short circuit fault are obtained. Here we develop a fuzzy system from the short circuit fault analysis and identify the evolving fault and classify the fault phases.