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Online estimation of distorted power system signal parameters

Agha Zadeh, Ramin, Ghosh, Arindam, & Ledwich, Gerard (2010) Online estimation of distorted power system signal parameters. IET Generation, Transmission & Distribution, 4(6), pp. 746-755.

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Abstract

An algorithm based on the concept of Kalman filtering is proposed in this paper for the estimation of power system signal attributes, like amplitude, frequency and phase angle. This technique can be used in protection relays, digital AVRs, DSTATCOMs, FACTS and other power electronics applications. Furthermore this algorithm is particularly suitable for the integration of distributed generation sources to power grids when fast and accurate detection of small variations of signal attributes are needed. Practical considerations such as the effect of noise, higher order harmonics, and computational issues of the algorithm are considered and tested in the paper. Several computer simulations are presented to highlight the usefulness of the proposed approach. Simulation results show that the proposed technique can simultaneously estimate the signal attributes, even if it is highly distorted due to the presence of non-linear loads and noise.

Impact and interest:

6 citations in Scopus
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8 citations in Web of Science®

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ID Code: 31181
Item Type: Journal Article
Additional URLs:
Keywords: power system, Frequency Estimation , Noise parameters
DOI: 10.1049/iet-gtd.2009.0090
ISSN: 1751-8687
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 Institution of Engineering and Technology
Deposited On: 08 Mar 2010 11:35
Last Modified: 22 Oct 2013 13:37

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