Lightning performance identification of high voltage transmission lines using artificial neural networks

Ekonomou, L; Iracleous, DP; Gonos, IF; Stathopulos, IA

dc.contributor.author	Ekonomou, L	en
dc.contributor.author	Iracleous, DP	en
dc.contributor.author	Gonos, IF	en
dc.contributor.author	Stathopulos, IA	en
dc.date.accessioned	2014-03-01T01:22:35Z
dc.date.available	2014-03-01T01:22:35Z
dc.date.issued	2005	en
dc.identifier.issn	1472-8915	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16618
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-27744453482&partnerID=40&md5=c1b4e8b54c133a072871d7e6f12038dd	en
dc.subject	Artificial neural networks	en
dc.subject	High voltage transmission lines	en
dc.subject	Lightning performance	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Algorithms	en
dc.subject.other	Backpropagation	en
dc.subject.other	Electric lines	en
dc.subject.other	Electric potential	en
dc.subject.other	Electric power systems	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Neural networks	en
dc.subject.other	Performance	en
dc.subject.other	Power electronics	en
dc.subject.other	Backpropagation algorithms	en
dc.subject.other	Hellenic transmission line	en
dc.subject.other	High voltage transmission lines	en
dc.subject.other	Lightning performance	en
dc.subject.other	Lightning	en
dc.title	Lightning performance identification of high voltage transmission lines using artificial neural networks	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	The paper presents a novel approach to lightning performance identification of high voltage transmission lines using artificial neural networks (ANNs). This approach is described in detail and results obtained by its application on an operating 400 kV Hellenic transmission line are presented. The conventional multilayer perceptron (MLP) technique, based on a backpropagation algorithm was considered in order to train the model. Actual input and output data collected from operating Hellenic high voltage transmission lines were used in the training process. The computed lightning failure rate is compared with real records of outage rate and with results obtained using the analytical algorithms. The presented methodology can be proved valuable to the studies of electric power systems designers, intended in a more effective protection of transmission lines against lightning strokes. © 2005 CRL Publishing Ltd.	en
heal.publisher	C R L PUBLISHING LTD	en
heal.journalName	Engineering Intelligent Systems	en
dc.identifier.isi	ISI:000232870000004	en
dc.identifier.volume	13	en
dc.identifier.issue	3	en
dc.identifier.spage	189	en
dc.identifier.epage	193	en