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The Use of Digital Phase Locked Loops for Estimation of Instantaneous Frequency Rate in Distributed Power Networks

Glickman, Mark, Kam, Shui-Cheong, & Hussain, Zahir M. (2007) The Use of Digital Phase Locked Loops for Estimation of Instantaneous Frequency Rate in Distributed Power Networks. In Australasian Universities Power Engineering Conference 2007, 9 - 12 December 2007, Perth, Western Australia, Australia.

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Abstract

A power system disturbance scenario which is of particular interest is that which occurs when one or more generators in a distributed power system is 'taken out'. Under such circumstances the load becomes especially great on the remaining generators and the speed of rotation will rapidly decrease changing the frequency of a mains signal. Fast and accurate instantaneous frequency rate (IFR) estimation algorithms are used for disturbance detection, to allow enough time for introduction of appropriate control measures that will prevent system failure. The main application would be in the load shedding scheme. Some recent work has suggested estimating the IFR by the use of the ambiguity function and cubic phase function algorithms. The method presented in this paper estimates instantaneous frequency drifts with the use of digital phase locked loop (DPLL). Simulations show that DPLL based methods can estimate the IFR with a lower mean square error (MSE) than existing maximisation methods.

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ID Code: 11310
Item Type: Conference Paper
Additional Information: For more information, please refer to the conference’s website (see hypertext link) or contact the author.
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ISBN: 9780646474991
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Current > Research Centres > Australian Housing and Urban Research Institute (AHURI)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Institute for Sustainable Resources
Copyright Owner: Copyright 2007 Curtin University of Technology
Deposited On: 07 Jan 2008
Last Modified: 29 Feb 2012 23:34

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