Method combining ANNs and Monte Carlo simulation for the selection of the load shedding protection strategies in autonomous power systems

Thalassinakis, EJ; Dialynas, EN; Agoris, D

dc.contributor.author	Thalassinakis, EJ	en
dc.contributor.author	Dialynas, EN	en
dc.contributor.author	Agoris, D	en
dc.date.accessioned	2014-03-01T01:24:39Z
dc.date.available	2014-03-01T01:24:39Z
dc.date.issued	2006	en
dc.identifier.issn	0885-8950	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17368
dc.subject	Frequency response	en
dc.subject	Load shedding	en
dc.subject	Monte Carlo methods	en
dc.subject	Neural nets	en
dc.subject	Power system protection	en
dc.subject	Simulation	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric load shedding	en
dc.subject.other	Electric power system protection	en
dc.subject.other	Frequency response	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Neural networks	en
dc.subject.other	Stability	en
dc.subject.other	Load shedding protection	en
dc.subject.other	Power system protection	en
dc.subject.other	Electric power systems	en
dc.title	Method combining ANNs and Monte Carlo simulation for the selection of the load shedding protection strategies in autonomous power systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TPWRS.2006.879293	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TPWRS.2006.879293	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper describes an efficient computational methodology that can be used for calculating the appropriate strategy for load shedding protection in autonomous power systems. It extends an existing method that is based on the sequential Monte Carlo simulation approach for comparing alternative strategies by taking into account the amount of load to be shed and the respective risk for the system stability. The extended methodology uses artificial neural networks (ANNs) for determining directly the parameters of the most appropriate load shedding protection strategy. For this purpose, the system inputs are the desirable probabilistic criteria concerning the system security or the amount of customer load interruptions. Using this methodology, the utility engineers can adopt a specific strategy that meets the respective utility criteria. The methodology was tested on a practical power system using a computer simulation for its operation, and the obtained results demonstrate its accuracy and the improved system performance. © 2006 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Power Systems	en
dc.identifier.doi	10.1109/TPWRS.2006.879293	en
dc.identifier.isi	ISI:000241839700012	en
dc.identifier.volume	21	en
dc.identifier.issue	4	en
dc.identifier.spage	1574	en
dc.identifier.epage	1582	en