Abstract: With power systems switching to smart grids, real-time and on-line monitoring technologies for underground distribution power cables have become a priority. Most distribution components have been developed with self-diagnostic sensors to realize self-healing, one of the smart grid functions in a distribution network. Nonetheless, implementing a real-time and on-line monitoring system for underground distribution cables has been difficult because of high cost and low sensitivity. Nowadays, optical fiber composite power cables (OFCPCs) are being considered for communication and power delivery to cope with the increasing communication load in a distribution network. Therefore, the application of distributed temperature sensing (DTS) technology on OFCPCs used as underground distribution lines is studied for the real-time and on-line monitoring of the underground distribution power cables. Faults can be reduced and operating ampacity of the underground distribution system can be increased. This paper presents the development and improvement of an intelligent cable monitoring system for the underground distribution power system, using DTS technology and OFCPCs as the underground distribution lines in the field.
Keywords: optical fiber composite power cable (OFCPC); distributed temperature sensing (DTS); optical switch; on-line monitoring; test-bed; field test
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Cho, J.; Kim, J.-H.; Lee, H.-J.; Kim, J.-Y.; Song, I.-K.; Choi, J.-H. Development and Improvement of an Intelligent Cable Monitoring System for Underground Distribution Networks Using Distributed Temperature Sensing. Energies 2014, 7, 1076-1094.
Cho J, Kim J-H, Lee H-J, Kim J-Y, Song I-K, Choi J-H. Development and Improvement of an Intelligent Cable Monitoring System for Underground Distribution Networks Using Distributed Temperature Sensing. Energies. 2014; 7(2):1076-1094.
Cho, Jintae; Kim, Jae-Han; Lee, Hak-Ju; Kim, Ju-Yong; Song, Il-Keun; Choi, Joon-Ho. 2014. "Development and Improvement of an Intelligent Cable Monitoring System for Underground Distribution Networks Using Distributed Temperature Sensing." Energies 7, no. 2: 1076-1094.