Single and Double PQ Disturbances Classification Based on Stockwell Transform and Support Vector Machine

摘要

Power quality disturbances can cause electrical appliances to malfunction, upsetting users who need the full performance of their device. A current and voltage waveforms interruption in power quality disturbances phenomena is due to the increased usage of electronic equipment. The problems to cater are, it can be harmful to users as well as reduce life expectancy of electrical products. In order to overcome this problems, classification of power quality disturbance is needed in order to provide the accurate information before the correct mitigation technique can be taken. In this paper, detection and classification technique, Stockwell transform, and Support Vector Machine were employed to classify nine types power quality disturbances including a single and multiple disturbances. Features were extracted to obtain a solid input for the classification purpose. The performance of the technique was analyzed and discussed to prove the reliability and the persistency of the technique.