Fast contingency analysis and ranking for power system security assessment

Sinha, Roshan Kumar; Chauhan, Sushil

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dc.contributor.author	Sinha, Roshan Kumar
dc.contributor.author	Chauhan, Sushil
dc.date.accessioned	2016-03-18T12:05:25Z
dc.date.available	2016-03-18T12:05:25Z
dc.date.issued	2014-11
dc.identifier.issn	2320-2084
dc.identifier.uri	http://27.109.7.66:8080/xmlui/handle/123456789/229
dc.description	International Journal of Electrical, Electronics and Data Communication, ISSN: 2320-2084 Volume-2, Issue-11, Nov.-2014	en_US
dc.description.abstract	Economic and environmental pressures have caused the modern power system to operate more close to its limit of stability. Maintaining power system security in such scenario is one of the challenging tasks for the power system engineers. An essential task is security assessment which gives the idea about the system state in the event of contingency. Practically, only selected contingencies will lead to severe conditions in power system. In this paper, contingency analysis and ranking technique for single line outage has been explained. Further the contingency analysis suited especially for online environment has been done by using Multilayer Perceptron Network (MLP) and Probabilistic Neural Network (PNN). This provides an effective mean to rank the contingencies for various loading in a power system	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Electrical, Electronics and Data Communication	en_US
dc.subject	Contingency Analysis	en_US
dc.subject	FVSI	en_US
dc.subject	Loadability Margin	en_US
dc.subject	Neural Network	en_US
dc.subject	Security Assessment	en_US
dc.title	Fast contingency analysis and ranking for power system security assessment	en_US
dc.type	Article	en_US