DocumentCode
1777928
Title
A fault section location technique for distribution systems based on wide-area fault information fuzzy clustering analysis
Author
Kun Yu ; Xiangjun Zeng ; Mingwei Huang
Author_Institution
Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
903
Lastpage
908
Abstract
In order to realize smart distribution system self-healing control, fault section location is the precondition. Neutral ineffectively earthed power system is adopted as the distribution system in most areas of central Europe, Eastern Europe and China. For neutral ineffectively earthed power systems, fault information are too week to be detected. Fault section location is hard to implement in distribution systems due to the complex system structure and the variable operating mode. A Fault section location technique for distribution systems based on wide-area fault information fuzzy clustering analysis is proposed in this paper. The multidimensional fault features from the FTUs of the distribution systems are used to realize the fault section location. Based on the rule that the fault information is flow from the fault point to the busbar, the FTUs are divided into fault group and non-fault group by fuzzy clustering algorithm. By searching the transmission route of the fault information, the fault section is the fault information source section. The fairly high precision of the proposed fault section location method was verified by PSCAD/EMTDC simulation results. Since the setting value is not needed in this study, the proposed method is adaptive to the variation of the operating mode.
Keywords
distribution networks; fault location; fault tolerant computing; fuzzy set theory; large-scale systems; pattern clustering; power distribution faults; China; Europe; FTU; PSCAD/EMTDC; busbar; complex system structure; fault group; fault information source section; fault section location technique; feeder terminal unit; multidimensional fault feature; neutral ineffectively earthed power system; smart distribution system self-healing control; variable operating mode; wide-area fault information fuzzy clustering analysis; Classification algorithms; Clustering algorithms; Feature extraction; PSCAD; Transient analysis; Distribution system; fault section location; fuzzy clustering analysis; wide-area information;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/POWERCON.2014.6993907
Filename
6993907
Link To Document