active filters have proven to be more effective than passive techniques to improve power quality and to solve harmonic and power factor problems due to nonlinear loads. this paper proposes a control scheme based on the instantaneous active and reactive power. the inverter of this active filter is a three-phase, two-level converter. space vector technique is used as modulators and pattern genera...

The accurate classification of power quality disturbance (PQD) signals is great significance for the establishment a real-time monitoring system modern grids, ensuring safe and stable operation electricity safety users. Traditional signal methods are susceptible to noise interference, feature selection, etc. In order further improve accuracy methods, this paper proposes method based on S-transf...

Abstract This paper offers a systematic literature review of real-time detection and classification Power Quality Disturbances (PQDs). A particular focus is given to voltage sags notches, as cause huge economic losses while research on notches still very incipient. method based scientometrics, text similarity the analytic hierarchy process proposed structure select most relevant literature. bib...

Power quality issues are required to be addressed properly in forthcoming era of smart meters, grids and increase renewable energy integration. In this paper, Deep Auto-encoder (DAE) networks is proposed for power disturbance (PQD) classification its location detection without using complex signal processing techniques classifiers. technique, Gabor filter used extract a set general features fro...

Power Quality Disturbance (PQD) in a power grid distribution destroys the quality of to user. Thus, early detection disturbances is essential diagnose network before failure. Several may cause voltage sag, swell, or occurrence both. In proposed method deep recurrent neural (DRNN) used for classifying PQD as well Red Deer Optimization (RDO) algorithm optimizing weight from DRNN. Based on behavio...