Phasor estimation considering DC component using UKF

Happy Novanda, Pawel Regulski, Francisco González-Longatt, Vladimir Terzija

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

3 Citations (Scopus)

Abstract

Electric power quality is ability of the system to deliver electric power service in high quality so that the end use equipment will operate within its design specifications. Introducing power generation using renewable energy can increase regulations and need for reserves due to its natural intermittency. The impact of variables in distributed generation may range from negligible to significant depending on the level of penetration. Therefore, monitoring power quality accurately can reduce challenges occur in modern grid integration. This means, more reliable and accurate methods are needed to estimate phasors in the presence of signal distortion. This paper introduces a new phasor estimation method based on unscented Kalman filter (UKF). Several computer simulated test results are presented. The initial parameters for the method were chosen carefully using an establish parameter estimation method, least square. And it is concluded that the proposed algorithm has low computational demand and can track amplitude, frequency and dc component of distorted signals which makes it a promising method in the next generation of phasor estimation technique.

Original languageEnglish
Title of host publicationAPAP 2011 - Proceedings
Subtitle of host publication2011 International Conference on Advanced Power System Automation and Protection
Pages2438-2442
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Advanced Power System Automation and Protection, APAP 2011 - Beijing, China
Duration: 16 Oct 201120 Oct 2011

Publication series

NameAPAP 2011 - Proceedings: 2011 International Conference on Advanced Power System Automation and Protection
Volume3

Conference

Conference2011 International Conference on Advanced Power System Automation and Protection, APAP 2011
Country/TerritoryChina
CityBeijing
Period16/10/1120/10/11

Keywords

  • dc component
  • Kalman filter
  • phasor estimation
  • unscented transformation

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