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IEEE Transactions on Dielectrics and Electrical Insulation Vol. 18, No. 1; February 2011 275
Diagnostic of HVDC Systems Using Partial Discharges
Andrea Cavallini, Gian Carlo Montanari
University of Bologna, Dept. of Electrical Engineering
Viale Risorgimento 2, 40136 Bologna, Italy
Marco Tozzi
TechImp Spa
Viale Toscana 11/c, 40069 Zola Predosa, Italy
and Xiaolin Chen
State Key Lab of Electrical Insulation and Power Equipment, Xian Jiaotong University
No. 28 Xianning West Road, Xi’an, Shaanxi 710049, China
ABSTRACT
This paper presents a methodology for the diagnosis of HVDC systems based on partial
discharge analysis. In particular, the characteristics of partial discharge phenomena from
different test objects are highlighted, with the aim of providing tools enabling automatic
identification of the type of PD, as well as noise and disturbance rejection, for on-line and/or
off-line PD testing of HVDC equipments. The results show that, using a fuzzy
identification system based on higher-order moments of the PD magnitude and inter-time
distributions, corona phenomena can be identified easily, whereas it is sometimes difficult
to distinguish between internal and surfa
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