Monitoring and mitigation of power quality events using signal processing techniques and custom power devices

Abstract

The generous production of electrical energy remains as a primary representation for countryand#8223;s GDP growth and overall national strength. Initially, the electric power systems comprise of linear loads and the quality of electric power is measured by means of two major parameters like frequency deviance and voltage deviance. The rapid growth in Indian economy simultaneously increases the electric power demand. In order to guarantee the security, accuracy and economic operation of power grids and electrical equipment, certain control and compensation technologies must be adopted to increase the supply voltage quality. The primary condition for these control and improvement of power quality is to obtain timely disturbing source of accurate information. Thus, monitoring and investigation of PQD is the prerequisite for rapid detection, identification and mitigation of various power quality events present in an electric power system. The research work entitled Monitoring and mitigation of power quality events using signal processing techniques and custom power devices is focused on the detection, identification and alleviation of electric power quality disturbance (PQD) signal using signal processing techniques and newlineCustom Power Devices (CPDs). In this work the signal processing techniques such as S-Transform and Hilbert Huang Transform (HHT) is proposed for monitoring the PQD signals and the design of custom power devices are newlinedeveloped to mitigate the PQD and improve the overall quality of the power newlinedemanded by the end users. In this research work, the monitoring of PQD newlinesignals using S-Transform is analysed as a simple and effective method for newlinedetection of PQD signals. The classification of PQD signals have been newlineimplemented using a rule based decision tree for different noise levels, such newlineas with no noise, 30dB noise and 45dB noise. newline newline