Adaptive algorithm for estimating power frequency phasors using dynamic window length. Issue 14 (1st November 2016)

• Record Type: Journal Article
• Authors: Yang, Liming; Jiao, Zaibin; Kang, Xiaoning; Song, Guobing; Suonan, Jiale
• Is Part Of: IET generation, transmission & distribution. Volume 10:Issue 14(2016)
• Page Start: 3423
• Page End: 3430
• Publication Date: 2016-11-01
• Subjects: phasor measurement -- fault diagnosis -- power system faults -- matrix algebra -- power system reliability; adaptive algorithm -- power frequency phasor estimation -- dynamic window length -- fault detection -- fault isolation -- power system -- current signal -- diverse fault voltage -- matrix pencil method; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2015.1241
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Estimating phasors as quickly as possible while guaranteeing accuracy is important to ensure reliable fault detection and isolation in power systems. Window length is an important factor for phasor estimation. The conventional fixed window length cannot handle well the many and diverse fault voltage and current signals. By analysing the relationship between accuracy and window length of a phasor estimation using the matrix pencil method, a criterion is established to determine whether or not the estimated phasor is credible. Then, an adaptive algorithm to estimate the phasors using dynamic window length is proposed. Analytical and experimental investigations show that the proposed algorithm can accurately and timely estimate phasors and can enable reliable and quick relay operation.