Notes

Disturbances in power quality usually produce continuity changes in the power signal. Power quality (PQ) issue has attained considerable attention in the last decade due to increasing number of highly sensitive electronics equipment and/or microprocessor based controlled loads; moreover, they can appear simultaneously as there are multiple sources of different disturbances. Identification and classification of various power quality disturbances are keys to ensuring high-quality electrical energy. PQ disturbances cover a broad frequency range with significantly different magnitude variations and can be non-stationary, thus, accurate techniques are required to identify and classify these events/disturbances. This paper proposes a detection and classification technique for several power quality disturbances……..
This forms a feature vector that is fed to the input nodes of probabilistic neural network which classifies the power quality disturbances. To validate the efficiency and preciseness of the proposed method the simulation results are analyzed.