Wavelet Transform Based PQ Event Localization Scheme for Benchmark LVAC Microgrid

Abstract

Widespread use of renewable energy resources and electronic equipment has aggravated the power quality issues. Delivery of the undistorted sinusoidal rated voltage and current at rated frequency are the main expectations from electrical power system. Thus, continuous detection and localization of power quality disturbances has become a major concern for transmission and distribution networks to identify sources of disturbance and to circumvent equipment damage. However, automatic Power Quality (PQ) event localization is a challenging concern for both utility and industries. A novel technique based on Discrete Wavelet Transform (DWT) has been proposed for online PQ event detection and offline near-by area localization in distribution networks. Line current signal features based on DWT are extracted and the proposed scheme is evaluated by MATLAB simulation for a typical 415 V benchmark Low Voltage AC (LVAC) microgrid. The algorithm performance like steady-state, sensitivity and selectivity is validated in presence and absence of distributed energy resources (DERs) for various PQ events. Thus, manual effort involved in PQ disturbance location and source rectification could be minimized once a defined near-by area in the entire distribution network is identified.