Embedded system applications for electrical power quality

Propose of this work is detection, classification and remote monitoring of instant transients that includes high frequency components like voltage sags, voltage swells and arcing faults known as power quality events. During the work low, medium and high cost systems were developed for different requirements. Detection and classification algorithms; high order statistical parameters, common vector approach and 2D signal representation with low, medium and high computing complexity which are only implemented to computer systems was optimized for embedded systems. For first two methods many voltage sags, voltage swells, arcing faults with different features was done to generate classifiers. Performance rates of the methods were tested with real data.Finally to send classification results and the wave form of the event to the central server with wired or wireless internet connection, two more embedded systems was developed. For wired connection software was developed on hardware with Ethernet interface. For wireless connection GPRS was used.