A MCDM knowledge based scheme for coordinated voltage control

H. M. Ma; K. F. Man; D. J. Hill

doi:10.1109/TDC.2008.4517127

A MCDM knowledge based scheme for coordinated voltage control

H. M. Ma
, K. F. Man
, D. J. Hill

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

Abstract

A new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate.

Original language	English
Title of host publication	Transmission and Distribution Exposition Conference
Subtitle of host publication	2008 IEEE PES Powering Toward the Future, PIMS 2008
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Print)	9781424419036
DOIs	https://doi.org/10.1109/TDC.2008.4517127
Publication status	Published - 2008
Externally published	Yes
Event	IEEE/PES Transmission and Distribution Conference and Exposition 2008 - Chicago, United States of America Duration: 21 Apr 2008 → 24 Apr 2008 https://ieeexplore.ieee.org/xpl/conhome/4505447/proceeding (Website)

Conference

Conference	IEEE/PES Transmission and Distribution Conference and Exposition 2008
Abbreviated title	PIMS 2008
Country/Territory	United States of America
City	Chicago
Period	21/04/08 → 24/04/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4505447/proceeding (Website)

Keywords

Genetic algorithms
Multiple criteria decision making
Voltage control
Voltage stability

Access to Document

10.1109/TDC.2008.4517127

Cite this

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title = "A MCDM knowledge based scheme for coordinated voltage control",

abstract = "A new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate.",

keywords = "Genetic algorithms, Multiple criteria decision making, Voltage control, Voltage stability",

author = "Ma, \{H. M.\} and Man, \{K. F.\} and Hill, \{D. J.\}",

year = "2008",

doi = "10.1109/TDC.2008.4517127",

language = "English",

isbn = "9781424419036",

booktitle = "Transmission and Distribution Exposition Conference",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE/PES Transmission and Distribution Conference and Exposition 2008, PIMS 2008 ; Conference date: 21-04-2008 Through 24-04-2008",

url = "https://ieeexplore.ieee.org/xpl/conhome/4505447/proceeding",

}

Ma, HM, Man, KF & Hill, DJ 2008, A MCDM knowledge based scheme for coordinated voltage control. in Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008. IEEE, Institute of Electrical and Electronics Engineers, IEEE/PES Transmission and Distribution Conference and Exposition 2008, Chicago, Illinois, United States of America, 21/04/08. https://doi.org/10.1109/TDC.2008.4517127

A MCDM knowledge based scheme for coordinated voltage control. / Ma, H. M.; Man, K. F.; Hill, D. J.
Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008. IEEE, Institute of Electrical and Electronics Engineers, 2008.

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

TY - GEN

T1 - A MCDM knowledge based scheme for coordinated voltage control

AU - Ma, H. M.

AU - Man, K. F.

AU - Hill, D. J.

PY - 2008

Y1 - 2008

N2 - A new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate.

AB - A new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate.

KW - Genetic algorithms

KW - Multiple criteria decision making

KW - Voltage control

KW - Voltage stability

UR - https://www.scopus.com/pages/publications/77950985854

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DO - 10.1109/TDC.2008.4517127

M3 - Conference Paper

AN - SCOPUS:77950985854

SN - 9781424419036

BT - Transmission and Distribution Exposition Conference

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE/PES Transmission and Distribution Conference and Exposition 2008

Y2 - 21 April 2008 through 24 April 2008

ER -

A MCDM knowledge based scheme for coordinated voltage control

Abstract

Conference

Keywords

Access to Document

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Cite this