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Identification of inter-area oscillations using Zolotarev filter bank with eigen realization algorithm
Published in IEEE Computer Society
2016
Volume: 2016-January
   
Abstract
Inter-area oscillations can be identified by analyzing the signals obtained from Phasor Measurement Units (PMUs) dispersed across the power network. In this paper, signals obtained from PMU are decomposed into monocomponent signals by a filter bank based on Zolotarev polynomials. A narrow bandwidth of 0.1 Hz is designed in the range of 0 to 1 Hz using Zolotarev polynomial based filter bank. Modal frequency and damping are estimated from the decomposed monocomponent signals through Eigen Realization Algorithm (ERA). The proposed method is demonstrated on two-area test system and the simulation results are presented. © 2015 IEEE.
About the journal
JournalData powered by TypesetAsia-Pacific Power and Energy Engineering Conference, APPEEC
PublisherData powered by TypesetIEEE Computer Society
ISSN21574839
Open AccessNo
Concepts (20)
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    Algorithms
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    Bandpass filters
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    Circuit oscillations
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    Decomposition
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    Electric network analysis
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    Elliptic filters
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    Filter banks
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    Phase measurement
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    Polynomials
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    Signal processing
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    Units of measurement
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    EIGEN REALIZATION
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    INTER-AREA OSCILLATIONS
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    Modal frequency
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    MONO-COMPONENT SIGNAL
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    Narrow bandwidth
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    PHASOR MEASUREMENT UNIT (PMUS)
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    POLYNOMIAL BASED FILTERS
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    Power networks
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    Phasor measurement units