DocumentCode
3475362
Title
The study of cascading failure evaluation and path division on FCM algorithm
Author
Kou, Lingyue ; Ai, Xin ; Deng, Huiqiong
fYear
2008
fDate
6-9 April 2008
Firstpage
2379
Lastpage
2382
Abstract
Cascading failure is one of the main causes of blackouts. The authors proposed a new set of cascading failure evaluation, in order to reflect the different random combination of factors set off the possibility and spread speed of cascading failures, and focus on how evaluate and classify data samples to achieve the sample data screening by separate indexes. Using a multi-objective analysis method, evaluating the data samples first, and then adopting FCM (Fuzzy C-means) algorithm to classify sample data with separate and comprehensive index as an input. Finally, an example in IEEE39 system proves that the evaluation method is reasonable.
Keywords
failure analysis; fuzzy set theory; power system faults; IEEE39 system; blackouts; cascading failure evaluation; fuzzy C-means algorithm; multiobjective analysis method; path division; Algorithm design and analysis; Failure analysis; Fault location; Power system analysis computing; Power system faults; Power system protection; Power system reliability; Power system security; Power system simulation; System testing; Cascading failure; Fuzzy C-mean algorithm; evaluation index; random factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523810
Filename
4523810
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