The M-robust approach to power system steady state estimation and measurement applications in power systems

Ivan Škokljev, Branko Kovačević, Vladimir Terzija

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper considers an approach to the estimation of the amplitude of a stochastic signal, based on the maximum likelihood estimation, named M-estimation. The proposed approach is further used to build a new bad data suppression type algorithm for estimating parameters or states in the linear regression static model of a system. The feasibility of the approach is demonstrated with both simulated and experimental data concerning the application in power measurements and power system steady state estimation.

Original languageEnglish
Title of host publicationIMTC 1997 - IEEE Instrumentation and Measurement Technology Conference
Subtitle of host publicationSensing, Processing, Networking, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-553
Number of pages6
ISBN (Electronic)0780337476
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event14th Annual IEEE Instrumentation and Measurement Technology Conference, IMTC 1997 - Ottawa, Canada
Duration: 19 May 199721 May 1997

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
Volume1
ISSN (Print)1091-5281

Conference

Conference14th Annual IEEE Instrumentation and Measurement Technology Conference, IMTC 1997
Country/TerritoryCanada
CityOttawa
Period19/05/9721/05/97

Fingerprint

Dive into the research topics of 'The M-robust approach to power system steady state estimation and measurement applications in power systems'. Together they form a unique fingerprint.

Cite this