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.
In this study, the control and power transfer operation of wound rotor induction generator (WRIG)-based wind energy conversion system (WECS) in a hybrid AC/DC microgrid (DCM), delivering power during islanded and utility-tied conditions are dealt. The system encompasses WRIG, rotor-side converter (RSC) and stator SC (SSC) connected back-back with DCM. AC loads, AC end of SSC, stator of WRIG and a switchable utility frames the AC microgrid. During islanded mode, stator voltage and frequency are regulated with proportional-integral (PI) controllers through RSC. During utility-tied mode, RSC is currently controlled to perform bidirectional slip power transfer. Load compensation is achieved by current-controlled SSC at all conditions. Instantaneous power theory is employed in the current control of RSC and SSC for generating reference currents. On the basis of wind/load conditions, all possible operational modes are formulated. The power transfer operation during occasional conditions such as shorted winding, over loading, low wind, machine stall and no load claims the merit of the setup. A supervisory control algorithm is developed for executing smooth power transfer. The dynamic operation is experimentally analysed to confirm the efficacious working of the WECS.
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