A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring

Dina Shona Laila, A. R. Messina, B. C. Pal

Research output: Contribution to journalArticle

118 Citations (Scopus)

Abstract

This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.
Original languageEnglish
Pages (from-to)610-620
JournalIEEE Transactions on Power Systems
Volume24
Issue number2
DOIs
Publication statusPublished - 10 Apr 2009

Fingerprint

Mathematical transformations
Decomposition
Monitoring

Bibliographical note

The full text is not available on the repository.

Keywords

  • masking
  • Convolution filter
  • empirical mode decomposition
  • Hilbert–Huang transform
  • interarea oscillation
  • nonstationary oscillation analysis
  • refined Hilbert-Huang transform
  • interarea oscillation monitoring
  • power systems transient response
  • masking techniques
  • local Hilbert transformer
  • power system model
  • critical system modes
  • power system transients
  • Hilbert transforms
  • oscillations
  • Monitoring
  • Power system modeling
  • Power system simulation
  • Power system analysis computing
  • Power system dynamics
  • Data mining
  • Power system harmonics
  • Frequency
  • Power system stability
  • Filters

Cite this

A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring. / Laila, Dina Shona; Messina, A. R.; Pal, B. C.

In: IEEE Transactions on Power Systems, Vol. 24, No. 2, 10.04.2009, p. 610-620.

Research output: Contribution to journalArticle

@article{d95f1d1304504d58b1ca25710256a505,
title = "A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring",
abstract = "This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.",
keywords = "masking, Convolution filter, empirical mode decomposition, Hilbert–Huang transform, interarea oscillation, nonstationary oscillation analysis, refined Hilbert-Huang transform, interarea oscillation monitoring, power systems transient response, masking techniques, local Hilbert transformer, power system model, critical system modes, power system transients, Hilbert transforms, oscillations, Monitoring, Power system modeling, Power system simulation, Power system analysis computing, Power system dynamics, Data mining, Power system harmonics, Frequency, Power system stability, Filters",
author = "Laila, {Dina Shona} and Messina, {A. R.} and Pal, {B. C.}",
note = "The full text is not available on the repository.",
year = "2009",
month = "4",
day = "10",
doi = "10.1109/TPWRS.2009.2016478",
language = "English",
volume = "24",
pages = "610--620",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers",
number = "2",

}

TY - JOUR

T1 - A Refined Hilbert–Huang Transform With Applications to Interarea Oscillation Monitoring

AU - Laila, Dina Shona

AU - Messina, A. R.

AU - Pal, B. C.

N1 - The full text is not available on the repository.

PY - 2009/4/10

Y1 - 2009/4/10

N2 - This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.

AB - This paper focuses on the refinement of standard Hilbert-Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.

KW - masking

KW - Convolution filter

KW - empirical mode decomposition

KW - Hilbert–Huang transform

KW - interarea oscillation

KW - nonstationary oscillation analysis

KW - refined Hilbert-Huang transform

KW - interarea oscillation monitoring

KW - power systems transient response

KW - masking techniques

KW - local Hilbert transformer

KW - power system model

KW - critical system modes

KW - power system transients

KW - Hilbert transforms

KW - oscillations

KW - Monitoring

KW - Power system modeling

KW - Power system simulation

KW - Power system analysis computing

KW - Power system dynamics

KW - Data mining

KW - Power system harmonics

KW - Frequency

KW - Power system stability

KW - Filters

U2 - 10.1109/TPWRS.2009.2016478

DO - 10.1109/TPWRS.2009.2016478

M3 - Article

VL - 24

SP - 610

EP - 620

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 2

ER -