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A MCDM Knowledge Based Scheme for Coordinated Voltage Control

Date

Authors

Ma, H.M

Man, K.F

Hill, David

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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

Keywords: Control solutions; Control strategies; Coordinated voltage control; Data base; Evolutionary multiobjective optimization; Jumping gene; Multiple criteria decision making; Nonlinear power system model; Power voltage; Real time; System output; Voltage stabil Genetic algorithms; Multiple criteria decision making; Voltage control; Voltage stability

URI

http://hdl.handle.net/1885/35157

Collections

ANU Research Publications

Source

Proceedings of IEEE PES Transmission and Distribution Conference and Exposition 2008

Type

Conference paper

DOI

10.1109/TDC.2008.4517127

Restricted until

2037-12-31

Downloads

File

Description

01_Ma_A_MCDM_Knowledge_Based_Scheme_2008.pdf (435.62 KB)

02_Ma_A_MCDM_Knowledge_Based_Scheme_2008.pdf (849.72 KB)