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

        Rajpoot Sharad Chandra,Pandey Chanki,Rajpoot Prashant Singh,Singhai Sanjay Kumar,Sethy Prabira Kumar 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4

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

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