A MCDM knowledge based scheme for coordinated voltage control

Author

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

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon

fYear

2008

fDate

21-24 April 2008

Firstpage

1

Lastpage

6

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

decision making; evolutionary computation; optimisation; voltage control; jumping genes; knowledge based scheme; knowledge database; nonlinear power system; off-line evolutionary multiobjective optimization algorithm; online multiple criteria decision making scheme; real time power voltage control strategy; wide spread control solutions; Control systems; Data engineering; Decision making; Knowledge engineering; Power system control; Power system modeling; Power system simulation; Power system stability; Power systems; Voltage control; genetic algorithms; multiple criteria decision making; voltage control; voltage stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-1903-6

Electronic_ISBN

978-1-4244-1904-3

Type

conf

DOI

10.1109/TDC.2008.4517127

Filename

4517127