Coherency feature extraction based on DFT-based continuous wavelet transform

Yifan Zhou; Wei Hu; Xianzhuang Liu; Qiangming Zhou; Hongqiao Yu; Qian Pu

doi:10.1109/APPEEC.2015.7380916

Coherency feature extraction based on DFT-based continuous wavelet transform

Yifan Zhou
, Wei Hu
, Xianzhuang Liu
, Qiangming Zhou
, Hongqiao Yu
, Qian Pu

Electrical Engineering

Stony Brook University

Tsinghua University
State Grid Corporation of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Coherency identification is an important issue for transient stability analysis. In this paper, a coherency feature extraction method is proposed based on DFT-based continuous wavelet transform (CWT). By analyzing several typical situations of power angle swing (including incremental oscillated, damping oscillated and swing apart) using DFT-based CWT, it is illustrated that the scale and energy percentage of main components of the original signal can reveal the similarity and difference between power angle curves of the generators. Thus transient process of power angle can be described by a few indexes instead of a series of temporal data. Finally, case study in New England 10-machine 39-bus system indicates that the proposed coherency feature is valid for coherency identification in different fault cases.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467381321
DOIs	https://doi.org/10.1109/APPEEC.2015.7380916
State	Published - Jan 12 2016
Event	IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015 - Brisbane, Australia Duration: Nov 15 2015 → Nov 18 2015

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2016-January

Conference

Conference	IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
Country/Territory	Australia
City	Brisbane
Period	11/15/15 → 11/18/15

Keywords

DFT-based continuous wavelet transform
coherency identification
feature extraction
power angle curve

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10.1109/APPEEC.2015.7380916

Cite this

Zhou, Y., Hu, W., Liu, X., Zhou, Q., Yu, H., & Pu, Q. (2016). Coherency feature extraction based on DFT-based continuous wavelet transform. In Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015 Article 7380916 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-January). IEEE Computer Society. https://doi.org/10.1109/APPEEC.2015.7380916

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title = "Coherency feature extraction based on DFT-based continuous wavelet transform",

abstract = "Coherency identification is an important issue for transient stability analysis. In this paper, a coherency feature extraction method is proposed based on DFT-based continuous wavelet transform (CWT). By analyzing several typical situations of power angle swing (including incremental oscillated, damping oscillated and swing apart) using DFT-based CWT, it is illustrated that the scale and energy percentage of main components of the original signal can reveal the similarity and difference between power angle curves of the generators. Thus transient process of power angle can be described by a few indexes instead of a series of temporal data. Finally, case study in New England 10-machine 39-bus system indicates that the proposed coherency feature is valid for coherency identification in different fault cases.",

keywords = "DFT-based continuous wavelet transform, coherency identification, feature extraction, power angle curve",

author = "Yifan Zhou and Wei Hu and Xianzhuang Liu and Qiangming Zhou and Hongqiao Yu and Qian Pu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015 ; Conference date: 15-11-2015 Through 18-11-2015",

year = "2016",

month = jan,

day = "12",

doi = "10.1109/APPEEC.2015.7380916",

language = "English",

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Zhou, Y, Hu, W, Liu, X, Zhou, Q, Yu, H & Pu, Q 2016, Coherency feature extraction based on DFT-based continuous wavelet transform. in Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015., 7380916, Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2016-January, IEEE Computer Society, IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015, Brisbane, Australia, 11/15/15. https://doi.org/10.1109/APPEEC.2015.7380916

Coherency feature extraction based on DFT-based continuous wavelet transform. / Zhou, Yifan; Hu, Wei; Liu, Xianzhuang et al.
Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015. IEEE Computer Society, 2016. 7380916 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Coherency feature extraction based on DFT-based continuous wavelet transform

AU - Zhou, Yifan

AU - Hu, Wei

AU - Liu, Xianzhuang

AU - Zhou, Qiangming

AU - Yu, Hongqiao

AU - Pu, Qian

PY - 2016/1/12

Y1 - 2016/1/12

N2 - Coherency identification is an important issue for transient stability analysis. In this paper, a coherency feature extraction method is proposed based on DFT-based continuous wavelet transform (CWT). By analyzing several typical situations of power angle swing (including incremental oscillated, damping oscillated and swing apart) using DFT-based CWT, it is illustrated that the scale and energy percentage of main components of the original signal can reveal the similarity and difference between power angle curves of the generators. Thus transient process of power angle can be described by a few indexes instead of a series of temporal data. Finally, case study in New England 10-machine 39-bus system indicates that the proposed coherency feature is valid for coherency identification in different fault cases.

AB - Coherency identification is an important issue for transient stability analysis. In this paper, a coherency feature extraction method is proposed based on DFT-based continuous wavelet transform (CWT). By analyzing several typical situations of power angle swing (including incremental oscillated, damping oscillated and swing apart) using DFT-based CWT, it is illustrated that the scale and energy percentage of main components of the original signal can reveal the similarity and difference between power angle curves of the generators. Thus transient process of power angle can be described by a few indexes instead of a series of temporal data. Finally, case study in New England 10-machine 39-bus system indicates that the proposed coherency feature is valid for coherency identification in different fault cases.

KW - DFT-based continuous wavelet transform

KW - coherency identification

KW - feature extraction

KW - power angle curve

UR - https://www.scopus.com/pages/publications/84965081986

U2 - 10.1109/APPEEC.2015.7380916

DO - 10.1109/APPEEC.2015.7380916

M3 - Conference contribution

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

BT - Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015

PB - IEEE Computer Society

T2 - IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015

Y2 - 15 November 2015 through 18 November 2015

ER -

Coherency feature extraction based on DFT-based continuous wavelet transform

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