A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors

This paper proposes a SUGPDS model based on Detection and Isolation algorithm smart sensors, namely micro phasor measurement unit, sensing switching device, data concentrator, ZigBee technology, etc. for the identification, classification, isolation of various fault occurs in underground power cable distribution system. The proposed is quick tool supervising, managing, controlling faults issues maintaining reliability, stability, uninterrupted flow electricity. First, analyzed using distributed parameter approach. Then, proper arrangement system required implantation demonstrated figures. Phasor concentrator plays an essential role developing detection classification report identification classification. Finally, device installed at different location isolated faulty phase from healthy network. approach helps to decrease consumption. Hence, has super abilities compared effectiveness method via figures tables.