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

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › 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. ©2008 IEEE.

Original language	English
Title of host publication	Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008
DOIs	https://doi.org/10.1109/TDC.2008.4517127
Publication status	Published - 2008
Event	Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008 - Chicago, IL, United States Duration: 21 Apr 2008 → 24 Apr 2008

Conference

Conference	Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008
Place	United States
City	Chicago, IL
Period	21/04/08 → 24/04/08

Research Keywords

Genetic algorithms
Multiple criteria decision making
Voltage control
Voltage stability

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10.1109/TDC.2008.4517127

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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. {\textcopyright}2008 IEEE.",

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: 2008 IEEE PES Powering Toward the Future, PIMS 2008",

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

}

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., 4517127, Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008, Chicago, IL, United States, 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. 2008. 4517127.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › 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. ©2008 IEEE.

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. ©2008 IEEE.

KW - Genetic algorithms

KW - Multiple criteria decision making

KW - Voltage control

KW - Voltage stability

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U2 - 10.1109/TDC.2008.4517127

DO - 10.1109/TDC.2008.4517127

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424419036

BT - Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008

T2 - Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008

Y2 - 21 April 2008 through 24 April 2008

ER -

A MCDM knowledge based scheme for coordinated voltage control

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Research Keywords

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