Out-of-step Prediction for Power System Using Improved Prony Algorithm

The development of the phasor measurement units (PMUs) and the wide-area measurement systems (WAMS) in power system provide abundant synchronous data for the new application. This paper proposes an online out-of-step monitoring and predicting scheme for the interconnected power systems based on the...

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Main Author: Shi Fang
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167010012
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spelling doaj-f15b9c4455b143a79919f6e9148a26f32021-02-02T00:41:01ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01701001210.1051/matecconf/20167010012matecconf_icmit2016_10012Out-of-step Prediction for Power System Using Improved Prony AlgorithmShi FangThe development of the phasor measurement units (PMUs) and the wide-area measurement systems (WAMS) in power system provide abundant synchronous data for the new application. This paper proposes an online out-of-step monitoring and predicting scheme for the interconnected power systems based on the rotor angle measurement. The Prony algorithm is improved to predict whether and when a power swing will lead to out-of-step of the generator or the power systems. An energy-like weight coefficient approximation of the decomposed signals is introduced to maintain the accuracy and reliability of the model free dynamic prediction method. The effectiveness and applicability of the proposed scheme is illustrated using a 2-area-4-machine power system.http://dx.doi.org/10.1051/matecconf/20167010012
collection DOAJ
language English
format Article
sources DOAJ
author Shi Fang
spellingShingle Shi Fang
Out-of-step Prediction for Power System Using Improved Prony Algorithm
MATEC Web of Conferences
author_facet Shi Fang
author_sort Shi Fang
title Out-of-step Prediction for Power System Using Improved Prony Algorithm
title_short Out-of-step Prediction for Power System Using Improved Prony Algorithm
title_full Out-of-step Prediction for Power System Using Improved Prony Algorithm
title_fullStr Out-of-step Prediction for Power System Using Improved Prony Algorithm
title_full_unstemmed Out-of-step Prediction for Power System Using Improved Prony Algorithm
title_sort out-of-step prediction for power system using improved prony algorithm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description The development of the phasor measurement units (PMUs) and the wide-area measurement systems (WAMS) in power system provide abundant synchronous data for the new application. This paper proposes an online out-of-step monitoring and predicting scheme for the interconnected power systems based on the rotor angle measurement. The Prony algorithm is improved to predict whether and when a power swing will lead to out-of-step of the generator or the power systems. An energy-like weight coefficient approximation of the decomposed signals is introduced to maintain the accuracy and reliability of the model free dynamic prediction method. The effectiveness and applicability of the proposed scheme is illustrated using a 2-area-4-machine power system.
url http://dx.doi.org/10.1051/matecconf/20167010012
work_keys_str_mv AT shifang outofsteppredictionforpowersystemusingimprovedpronyalgorithm
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