DocumentCode :
2992396
Title :
Application and Research on the Clustering Method in the Flow Transfer of Power Network
Author :
Deng, Huiqiong ; Zhu, Weilu ; Sun, Lihua ; Sun, Huiqing ; He, Lixiao
Author_Institution :
Coll. of Electr. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
3358
Lastpage :
3361
Abstract :
Flow transfer is one of main causes of cascading failures. It is important to identify the initial fault line which has serious impacts on the power network due to flow transfer. The authors propose a method which is based on Fuzzy C-mean (FCM) algorithm to divide the initial failures which has different impacts on the power network due to flow transfer. The method provides an analytical measure to divide the different effects of different initial failures and try to find weaknesses in the power network. The method combines structure and operating characteristics of the power network and proposes an elaborate structure of the data samples, therefore, the clustering analysis is more comprehensive and an example in IEEE14 system proves that the method is reasonable.
Keywords :
fuzzy set theory; load flow; pattern clustering; power engineering computing; power system faults; IEEE14 system; clustering method; flow transfer; fuzzy C-mean algorithm; initial fault line; power network; Classification algorithms; Clustering algorithms; Entropy; Indexes; Power system faults; Power system protection; blackout; cascading failure; cluster; flow transfer; power network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.819
Filename :
5630490
Link To Document :
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