Transient disturbance detection for micro grid power quality based on neural network adaptive control

To better integrate the wind power generation system into the AC micro-grid, power quality of the micro-grid has to be monitored. In this paper, the micro-grid power quality transient disturbance detection algorithm, which based on the neural network adaptive control (NNAC), was proposed. Besides, adaptive control structure of power quality transient disturbance detection was given, and transient disturbance, including voltage transient dips, voltage instantaneous liter, voltage interruption and the transient oscillation, was simulated and tested. The simulation results show that when using this algorithm, the type of transient disturbances signal in the micro-grid can be detected better, the start time and duration of the disturbance can be determined easily, and the analysis and calculation is simple, fast, and calculated data are less. The application of this method is very conducive to the operation of the wind power generation system in micro-grid control.