An alternate approach for power quality computation using sample shifting technique towards load characterization

This paper aims to estimate the pollution created by domestic electric appliances by evaluating harmonic components of electrical parameters like voltage, current, active and reactive powers and total harmonic distortions which in turn define the power quality issues. These parameters are used to create load signature pattern which is different for various appliances. Load respective signatures are analyzed for characterization to define basic electrical performances and are exploited to estimate healthiness during their running. Sample shifting technique (SST) is utilized to estimate harmonic components of the parameters. A comparatively easy to implement SST works only on the sample values and does not require any complex computation. A microcontroller based hardware prototype is developed to create signature patterns of appliances for characterization purposes utilizing SST in its firmware and its performance is evaluated with IEEE 1459-2010 dataset. These signature patterns are exploited for characterization of five different appliances.