Enhancement of coherency identification techniques for power system dynamic equivalents

Sung Kwan Joo; Chen Ching Liu; Jong Woong Choe

Enhancement of coherency identification techniques for power system dynamic equivalents

Sung Kwan Joo, Chen Ching Liu, Jong Woong Choe

School of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

22 Citations (Scopus)

Abstract

In dynamic studies of large electric power systems, it is often necessary to reduce a large power network to a smaller equivalent system while keeping the dynamic characteristics of the full system model within the desired accuracy. This paper proposes new coherency identification techniques using the K-means algorithm for construction of dynamic equivalent models. Numerical simulation results based on a NPCC 48-machine test system are presented to demonstrate the performance of the proposed method.

Original language	English
Pages	1811-1816
Number of pages	6
Publication status	Published - 2001
Event	2001 IEEE Power Engineering Society Summer Meeting - Vancouver, BC, Canada Duration: 2001 Jul 15 → 2001 Jul 19

Other

Other	2001 IEEE Power Engineering Society Summer Meeting
Country/Territory	Canada
City	Vancouver, BC
Period	01/7/15 → 01/7/19

Keywords

Coherency identification
Dynamic equivalents
Dynamic reduction
Power system dynamics

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Enhancement of coherency identification techniques for power system dynamic equivalents",

abstract = "In dynamic studies of large electric power systems, it is often necessary to reduce a large power network to a smaller equivalent system while keeping the dynamic characteristics of the full system model within the desired accuracy. This paper proposes new coherency identification techniques using the K-means algorithm for construction of dynamic equivalent models. Numerical simulation results based on a NPCC 48-machine test system are presented to demonstrate the performance of the proposed method.",

keywords = "Coherency identification, Dynamic equivalents, Dynamic reduction, Power system dynamics",

author = "Joo, {Sung Kwan} and Liu, {Chen Ching} and Choe, {Jong Woong}",

year = "2001",

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pages = "1811--1816",

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TY - CONF

T1 - Enhancement of coherency identification techniques for power system dynamic equivalents

AU - Joo, Sung Kwan

AU - Liu, Chen Ching

AU - Choe, Jong Woong

PY - 2001

Y1 - 2001

N2 - In dynamic studies of large electric power systems, it is often necessary to reduce a large power network to a smaller equivalent system while keeping the dynamic characteristics of the full system model within the desired accuracy. This paper proposes new coherency identification techniques using the K-means algorithm for construction of dynamic equivalent models. Numerical simulation results based on a NPCC 48-machine test system are presented to demonstrate the performance of the proposed method.

AB - In dynamic studies of large electric power systems, it is often necessary to reduce a large power network to a smaller equivalent system while keeping the dynamic characteristics of the full system model within the desired accuracy. This paper proposes new coherency identification techniques using the K-means algorithm for construction of dynamic equivalent models. Numerical simulation results based on a NPCC 48-machine test system are presented to demonstrate the performance of the proposed method.

KW - Coherency identification

KW - Dynamic equivalents

KW - Dynamic reduction

KW - Power system dynamics

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M3 - Paper

AN - SCOPUS:0035791835

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T2 - 2001 IEEE Power Engineering Society Summer Meeting

Y2 - 15 July 2001 through 19 July 2001

ER -

Enhancement of coherency identification techniques for power system dynamic equivalents

Abstract

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Keywords

ASJC Scopus subject areas

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