Abstract: The quadrature-based voltage events detection method accurately characterizes magnitude and duration of short duration voltage variations, such as sag, swell and interruption. The short duration voltage events are quantified by calculating the rms voltage. The present method utilizes a quadrature procedure to calculate the rms values for power quality event detection. Parameters that are most influenced by variations in rms voltage are used for event detection. Experimental results demonstrate the superiority, accuracy, and robustness of the quadrature method for all cases considered.

Abstract: Wavelet transform systems and methods for voltage events detection and classification are provided and include a wavelet multiresolution analysis-based real time detection and classification for voltage events, as developed on a LabVIEW® platform. In the wavelet transform systems and methods for voltage events detection and classification, a finest detail level is utilized to detect the start time, the end time, and the duration of the voltage events, whereas a coarsest approximation level is used to classify the voltage event types. The wavelet transform systems and methods for voltage events detection and classification are applied on several typical short duration voltage events, such as sag, swell, and interruption.