Abstract
This paper describes sensor fault control (SFC) scheme for a wound rotor induction generator (WRIG)-based wind energy system (WES) connected to a standalone DC micro grid (DCM). The DCM provides excitation for WRIG through a rotor side converter (RSC). The stator voltage and frequency are regulated using PI controllers. The generated power is supplied to loads, and excess power is supplied to DCM by PWM rectification operation of RSC. During stall mode, DCM supplies load through RSC by PWM inversion operation. To execute a smooth changeover of modes, supervisory control algorithm is employed. The control scheme involves sensors which may not be ideal and if fault occurs might lead to system collapse. To compensate the electrical sensor faults, a fault detection and compensation (FDC) scheme based on adaptive neuro-fuzzy inference system (ANFIS) is employed. For compensating mechanical sensor faults, an electrical sensor is employed. The system is experimentally tested to show the effectiveness of SFC scheme.
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