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Use of Artificial Neural Networks for Location of Defective Insulators in Power Lines
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作者 Renato Massoni Capelini Jose Feliciano Adami +2 位作者 Manuel Luis Barreira Martinez Marcel Femando da Costa Parentoni Ithamar Sene 《Journal of Energy and Power Engineering》 2012年第8期1308-1314,共7页
This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of hig... This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of high frequency signals generated by corona effect. Damaged insulator strings may lead to loss of insulation and hence to the corona effect, in other words, to partial discharges. These partial discharges can be detected by a system composed of a capacitive coupling device (region between the phase and the metal body of a current transformer), a data acquisition board and a computer. Analyzing the waveform of these partial discharges through a neural network based software, it is possible to identify and locate the defective insulator string. This paper discusses how this software analysis works and why its technique is suitable for this application. Hence the results of key tests performed along the development are discussed, pointing out the main factors that affect their performance. 展开更多
关键词 corona effect current transformer insulator string neural network power line.
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The role of varied metal protrusions on the conductor surfaces in corona discharge subjected to DC high voltages 被引量:2
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作者 XU JiaYu XU Peng +4 位作者 ZHANG Qian CUI Xiang BIAN XingMing LU TieBing LI HaiBing 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2018年第8期1197-1206,共10页
Conductor corona performance is significant in the evaluation of electromagnetic environment for high voltage power transmission lines. The influence of artificial contaminated conductors on corona discharge was studi... Conductor corona performance is significant in the evaluation of electromagnetic environment for high voltage power transmission lines. The influence of artificial contaminated conductors on corona discharge was studied and turned out to be complicated. The ionized field strength on the corona cage was measured by field mill. Meanwhile, photos of corona plumes were photographed and grayed to quantitate the corona discharge intensity. Subsequently, a calculation model for equivalent electric field strength coefficient was established to evaluate the discharge intensity of conductors in coaxial cylindrical electrode. It could be found the computational results achieved an agreement with the observed experimental phenomena. By means of simulation results, a reasonable explanation was given to the finding that the closer the distance between the two protrusions was, the lower the corona discharge intensity and higher corona inception voltage of the conductors would be. In summary, the distributions of corona sources played an important role in the corona discharge and this work would provide an important reference for the evaluation of corona effects on the surface of contaminated conductors. 展开更多
关键词 artificial corona sources corona effects corona plumes equivalent electric field strength coefficient gray value
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