Extraction and visualization of power system interarea oscillatory modes

Jason N. Bank; Olufemi A. Omitaomu; Steven J. Fernandez; Yilu Liu

doi:10.1109/PES.2010.5589856

Extraction and visualization of power system interarea oscillatory modes

Jason N. Bank
, Olufemi A. Omitaomu
, Steven J. Fernandez
, Yilu Liu

Computational Urban Sciences

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

4 Scopus citations

Abstract

Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.

Original language	English
Title of host publication	IEEE PES General Meeting, PES 2010
DOIs	https://doi.org/10.1109/PES.2010.5589856
State	Published - 2010
Event	IEEE PES General Meeting, PES 2010 - Minneapolis, MN, United States Duration: Jul 25 2010 → Jul 29 2010

Publication series

Name	IEEE PES General Meeting, PES 2010

Conference

Conference	IEEE PES General Meeting, PES 2010
Country/Territory	United States
City	Minneapolis, MN
Period	07/25/10 → 07/29/10

Keywords

High-speed data streams
Interarea mode
Oscillations
Power systems
Smart grid
Spatial devices
Visualization
Wide-area measurement systems

Access to Document

10.1109/PES.2010.5589856

Cite this

@inproceedings{b5a614b69ef44e0bab30bc975f7364e0,

title = "Extraction and visualization of power system interarea oscillatory modes",

abstract = "Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.",

keywords = "High-speed data streams, Interarea mode, Oscillations, Power systems, Smart grid, Spatial devices, Visualization, Wide-area measurement systems",

author = "Bank, \{Jason N.\} and Omitaomu, \{Olufemi A.\} and Fernandez, \{Steven J.\} and Yilu Liu",

year = "2010",

doi = "10.1109/PES.2010.5589856",

language = "English",

isbn = "9781424483570",

series = "IEEE PES General Meeting, PES 2010",

booktitle = "IEEE PES General Meeting, PES 2010",

note = "IEEE PES General Meeting, PES 2010 ; Conference date: 25-07-2010 Through 29-07-2010",

}

TY - GEN

T1 - Extraction and visualization of power system interarea oscillatory modes

AU - Bank, Jason N.

AU - Omitaomu, Olufemi A.

AU - Fernandez, Steven J.

AU - Liu, Yilu

PY - 2010

Y1 - 2010

N2 - Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.

AB - Interarea oscillatory modes pose a threat to power system stability. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system. Additionally a visualization methodology is presented which displays these results. Using the tools developed in this paper the dominant modes and their associated regions of influence in a power system can be determined directly from measurement data.

KW - High-speed data streams

KW - Interarea mode

KW - Oscillations

KW - Power systems

KW - Smart grid

KW - Spatial devices

KW - Visualization

KW - Wide-area measurement systems

UR - https://www.scopus.com/pages/publications/78649589796

U2 - 10.1109/PES.2010.5589856

DO - 10.1109/PES.2010.5589856

M3 - Conference contribution

AN - SCOPUS:78649589796

SN - 9781424483570

T3 - IEEE PES General Meeting, PES 2010

BT - IEEE PES General Meeting, PES 2010

T2 - IEEE PES General Meeting, PES 2010

Y2 - 25 July 2010 through 29 July 2010

ER -

Extraction and visualization of power system interarea oscillatory modes

Abstract

Publication series

Conference

Keywords

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