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Combination of Kalman filter and least error square techniques in power system

Agha Zadeh, Ramin, Ghosh, Arindam, & Ledwich, Gerard (2010) Combination of Kalman filter and least error square techniques in power system. IEEE Transactions on Power Delivery, 25(4), pp. 1-13.

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Abstract

An algorithm based on the concept of combining Kalman filter and Least Error Square (LES) techniques is proposed in this paper. The algorithm is intended to estimate signal attributes like amplitude, frequency and phase angle in the online mode. This technique can be used in protection relays, digital AVRs, DGs, DSTATCOMs, FACTS and other power electronics applications. The Kalman filter is modified to operate on a fictitious input signal and provides precise estimation results insensitive to noise and other disturbances. At the same time, the LES system has been arranged to operate in critical transient cases to compensate the delay and inaccuracy identified because of the response of the standard Kalman filter. 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 and a laboratory test are presented to highlight the usefulness of the proposed method. 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:

13 citations in Scopus
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10 citations in Web of Science®

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ID Code: 37940
Item Type: Journal Article
Keywords: Amplitude Estimation, Frequency Estimation, Harmonics, Kalman Filtering, Least-error Square
DOI: 10.1109/TPWRD.2010.2049276
ISSN: 0885-8977
Subjects: 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)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 IEEE
Deposited On: 14 Oct 2010 09:41
Last Modified: 01 Mar 2012 00:19

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