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http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/9223| Title: | Determination of Critical Clearing Time in a Power System Using Support Vector Machine |
| Authors: | Bansal, Hari Om |
| Keywords: | EEE Clearing time Support Vector Machine (SVM) Transient stability analysis Dynamic Security Assessment (DSA) |
| Issue Date: | Oct-2009 |
| Publisher: | SSRN |
| Abstract: | A Support Vector Machine (SVM) is a new supervised machine learning method based on the statistical learning theory. It is a very useful method for classification and regression in small-sample cases such as critical clearing time (TCC) calculations, fault diagnosis, etc. In this paper, an effort has been made to determine the TCC using SVM for a system having exposed to a fault and the results obtained are compared with the results of ‘Step-by-Step’ method - a classical method for determining TCC - to prove its superiority over classical methods |
| URI: | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1490944 http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9223 |
| Appears in Collections: | Department of Electrical and Electronics Engineering |
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