Neuro-fuzzy decision trees for dynamic security control of power systems

Bikas, AK; Voumvoulakis, EM; Hatziargyriou, ND

dc.contributor.author	Bikas, AK	en
dc.contributor.author	Voumvoulakis, EM	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:46:14Z
dc.date.available	2014-03-01T02:46:14Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32624
dc.subject	Corrective control	en
dc.subject	Dynamic security assessment	en
dc.subject	Load shedding	en
dc.subject	Neuro-fuzzy decision tree	en
dc.subject	Preventive control	en
dc.subject.other	Class patterns	en
dc.subject.other	Corrective control	en
dc.subject.other	Dynamic security	en
dc.subject.other	Fuzzy decision trees	en
dc.subject.other	Large-scale wind power	en
dc.subject.other	Load-shedding	en
dc.subject.other	Neuro-fuzzy decision tree	en
dc.subject.other	Parameter adaptation	en
dc.subject.other	Power systems	en
dc.subject.other	Preventive control	en
dc.subject.other	Realistic model	en
dc.subject.other	Security controls	en
dc.subject.other	Voltage instability	en
dc.subject.other	Decision trees	en
dc.subject.other	Fuzzy control	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Voltage control	en
dc.subject.other	Wind power	en
dc.subject.other	Network security	en
dc.title	Neuro-fuzzy decision trees for dynamic security control of power systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISAP.2009.5352842	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISAP.2009.5352842	en
heal.identifier.secondary	5352842	en
heal.publicationDate	2009	en
heal.abstract	This paper addresses the problem of dynamic security classification as well as security control of power systems., using class pattern recognition. More specifically, Neuro-Fuzzy Decision Trees (N-FDTs) are proposed i.e. fuzzy decision tree structure with neural like parameter adaptation strategy, in order to classify the security status of a power system. The method is applied on a realistic model of the Hellenic Power System, investigating two cases. The first case focuses on stressed operation of the power system and proposes corrective load shedding to avoid voltage instability. The second state investigates the scenario of large scale wind power integration to the system, and proposes wind power shedding as a preventive means to avoid. © 2009 IEEE.	en
heal.journalName	2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09	en
dc.identifier.doi	10.1109/ISAP.2009.5352842	en