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Online estimation of signal parameters in the presence of harmonic and noise distortion

Agha Zadeh, Ramin, Ghosh, Arindam, Ledwich, Gerard, & Zare, Firuz (2009) Online estimation of signal parameters in the presence of harmonic and noise distortion. In 13th International European Power Electronics Conference, 8-10 September 2009, Barcelona, Spain. (Unpublished)

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Abstract

An algorithm based on the concept of Kalman filtering is proposed in this paper for the estimation of 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 technique can simultaneously estimate the signal attributes, even if it is highly distorted due to the presence of non-linear loads and noise.

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ID Code: 20527
Item Type: Conference Paper
Keywords: Frequency estimation, Amplitude estimation, Phase angle estimation, Kalman filter, Harmonics, Nonlinear loads
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Renewable Power and Energy Systems Engineering (excl. Solar Cells) (090608)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 [please consult the authors]
Deposited On: 19 May 2009 11:01
Last Modified: 29 Feb 2012 23:56

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