The use of sliding spectral windows for parameter estimation in power system disturbance monitoring
O'Shea, Peter J. (2000) The use of sliding spectral windows for parameter estimation in power system disturbance monitoring. IEEE Transactions on Power Systems, 15(4), pp. 1261-1267.
The monitoring of power systems after faults or disturbances is an important problem. These disturbances generally give rise to oscillating modal components, which in a worst case scenario, can be exponentially growing sinusoids. The latter, if not detected and damped out, can pose a serious threat to system reliability. It is thus necessary to monitor whether any of these modes do exhibit exponential growth (rather than the more acceptable scenario of exponential decay). There are currently a number of approaches to predicting/monitoring disturbances in power system networks. One approach is eigenanalysis, based on a linearized modeling of the power system. A more direct approach is spectral analysis of the signals recorded immediately after a fault or disruption. For this latter approach both Prony's method and conventional Fourier techniques have been used. This paper presents a Fourier based algorithm for estimating the parameters of the oscillating modes which arise after a system disruption. The algorithm is based on the sliding window method discussed by K. Poon et al. (see ibid., p.1573-9, 1988) but has a number of innovations
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|Item Type:||Journal Article|
|Keywords:||Fourier, modal analysis, optimization, signal analysis, stability|
|Subjects:||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|
|Copyright Owner:||Copyright 2000 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||14 Jul 2005|
|Last Modified:||09 Jun 2010 12:26|
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