Clustering the bulk power system for the study of oscillations

Istemihan Genc; John Zaborszky

doi:10.1016/S1474-6670(17)35830-5

Clustering the bulk power system for the study of oscillations

Istemihan Genc, John Zaborszky

Department of Electrical Engineering

Washington University St. Louis

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

The non-uniform texture of the bulk power transmission system significantly influences its dynamics and calls for a clustering method to analyze and control the oscillatory stability of the system. In this paper, we develop and formulate a clustering algorithm based on coherency and modal analysis. Power flow distribution and coherency based clusters are distinguished and the existence of geographically scattered clusters is investigated. The algorithm is illustrated on a reduced order simplified model of the New England-New York interconnected system.

Original language	English
Pages (from-to)	193-198
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	36
Issue number	7
DOIs	https://doi.org/10.1016/S1474-6670(17)35830-5
Publication status	Published - 2003
Event	3rd IFAC Workshop on Automatic Systems for Building the Infrastructure in Developing Countries, DECOM-TT 2003 - Istanbul, Turkey Duration: 26 Jun 2003 → 28 Jun 2003

Bibliographical note

Publisher Copyright:
Copyright © 2003 IFAC.

Keywords

Clustering methods
Interconnected power system
Power system dynamics

Access to Document

10.1016/S1474-6670(17)35830-5

Cite this

@article{4c1d8f927e83489983f1cf101dca8583,

title = "Clustering the bulk power system for the study of oscillations",

abstract = "The non-uniform texture of the bulk power transmission system significantly influences its dynamics and calls for a clustering method to analyze and control the oscillatory stability of the system. In this paper, we develop and formulate a clustering algorithm based on coherency and modal analysis. Power flow distribution and coherency based clusters are distinguished and the existence of geographically scattered clusters is investigated. The algorithm is illustrated on a reduced order simplified model of the New England-New York interconnected system.",

keywords = "Clustering methods, Interconnected power system, Power system dynamics",

author = "Istemihan Genc and John Zaborszky",

note = "Publisher Copyright: Copyright {\textcopyright} 2003 IFAC.; 3rd IFAC Workshop on Automatic Systems for Building the Infrastructure in Developing Countries, DECOM-TT 2003 ; Conference date: 26-06-2003 Through 28-06-2003",

year = "2003",

doi = "10.1016/S1474-6670(17)35830-5",

language = "English",

volume = "36",

pages = "193--198",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier B.V.",

number = "7",

}

TY - JOUR

T1 - Clustering the bulk power system for the study of oscillations

AU - Genc, Istemihan

AU - Zaborszky, John

PY - 2003

Y1 - 2003

N2 - The non-uniform texture of the bulk power transmission system significantly influences its dynamics and calls for a clustering method to analyze and control the oscillatory stability of the system. In this paper, we develop and formulate a clustering algorithm based on coherency and modal analysis. Power flow distribution and coherency based clusters are distinguished and the existence of geographically scattered clusters is investigated. The algorithm is illustrated on a reduced order simplified model of the New England-New York interconnected system.

AB - The non-uniform texture of the bulk power transmission system significantly influences its dynamics and calls for a clustering method to analyze and control the oscillatory stability of the system. In this paper, we develop and formulate a clustering algorithm based on coherency and modal analysis. Power flow distribution and coherency based clusters are distinguished and the existence of geographically scattered clusters is investigated. The algorithm is illustrated on a reduced order simplified model of the New England-New York interconnected system.

KW - Clustering methods

KW - Interconnected power system

KW - Power system dynamics

UR - http://www.scopus.com/inward/record.url?scp=14744276672&partnerID=8YFLogxK

U2 - 10.1016/S1474-6670(17)35830-5

DO - 10.1016/S1474-6670(17)35830-5

M3 - Conference article

AN - SCOPUS:14744276672

SN - 2405-8963

VL - 36

SP - 193

EP - 198

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 7

T2 - 3rd IFAC Workshop on Automatic Systems for Building the Infrastructure in Developing Countries, DECOM-TT 2003

Y2 - 26 June 2003 through 28 June 2003

ER -

Clustering the bulk power system for the study of oscillations

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this