Application of a deep level knowledge model to dynamic behavior analysis of power systems

Machias, AV; Souflis, JL; Papadias, BC

dc.contributor.author	Machias, AV	en
dc.contributor.author	Souflis, JL	en
dc.contributor.author	Papadias, BC	en
dc.date.accessioned	2014-03-01T01:07:48Z
dc.date.available	2014-03-01T01:07:48Z
dc.date.issued	1990	en
dc.identifier.issn	0018-9472	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10182
dc.subject	Computational Method	en
dc.subject	Dynamic Behavior	en
dc.subject	Expert Knowledge	en
dc.subject	Knowledge Modeling	en
dc.subject	Power System	en
dc.subject	Power System Dynamics	en
dc.subject	Qualitative Reasoning	en
dc.subject	State Transition	en
dc.subject	Structural Model	en
dc.subject	Transient Stability	en
dc.subject.classification	Computer Science, Cybernetics	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Expert Systems	en
dc.subject.other	System Stability--Analysis	en
dc.subject.other	Deep Level Knowledge Model	en
dc.subject.other	Dynamic Behavior Analysis	en
dc.subject.other	Interconnected Power Systems	en
dc.subject.other	Power System Dynamic Analysis	en
dc.subject.other	State Transition Models	en
dc.subject.other	Transient Stability	en
dc.subject.other	Electric Power Systems	en
dc.title	Application of a deep level knowledge model to dynamic behavior analysis of power systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/21.57280	en
heal.identifier.secondary	http://dx.doi.org/10.1109/21.57280	en
heal.language	English	en
heal.publicationDate	1990	en
heal.abstract	The feasibility of power system dynamic analysis using qualitative reasonings with deep-level power system structure models is demonstrated. State transition models of the power system network components are developed to encode deep-level power system expert knowledge into the computer. The dynamic behavior of the system is then analyzed using this knowledge. The developed computational method is used to analyze the dynamic behavior of the Hellenic transmission system. Both the transient stability data and the acquisition of knowledge relevant to reasons behind problems affecting system stability can be ascertained.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Systems, Man and Cybernetics	en
dc.identifier.doi	10.1109/21.57280	en
dc.identifier.isi	ISI:A1990DN13400016	en
dc.identifier.volume	20	en
dc.identifier.issue	3	en
dc.identifier.spage	701	en
dc.identifier.epage	708	en