Covariance management based RLS algorithm for phasor estimation in severely noisy systems

dc.contributor.author	Almeida, Luiz Alberto Luz de
dc.contributor.author	Lima, Antonio Cezar de Castro
dc.creator	Almeida, Luiz Alberto Luz de
dc.creator	Lima, Antonio Cezar de Castro
dc.date.accessioned	2013-01-30T12:58:24Z
dc.date.issued	1998-10
dc.identifier.issn	0885-8977
dc.identifier.uri	http://www.repositorio.ufba.br/ri/handle/ri/8234
dc.description	Acesso Aberto	pt_BR
dc.description.abstract	This paper presents a new algorithm, derived from the recursive least squares (RLS), to estimate power system voltage and current harmonics for digital relay purposes. The algorithm is based on the RLS covariance matrix management, by making use of the covariance resetting in a different way. The approach provides a kind of attractor that absorbs all nonmodeled dynamics. In order to demonstrate its effectiveness, the proposed algorithm is applied to simulated signals and its performance is compared with other conventional methods.	pt_BR
dc.language.iso	en	pt_BR
dc.source	http://dx.doi.org/10.1109/61.714457	pt_BR
dc.subject	RLS	pt_BR
dc.subject	Adaptive prediction	pt_BR
dc.subject	Digital relaying	pt_BR
dc.subject	Covariance management	pt_BR
dc.title	Covariance management based RLS algorithm for phasor estimation in severely noisy systems	pt_BR
dc.title.alternative	IEEE Transactions on Power Deliver	pt_BR
dc.type	Artigo de Periódico	pt_BR
dc.identifier.number	v. 13, n. 4	pt_BR
dc.embargo.liftdate	10000-01-01