A Multiple Criteria Decision-Making Knowledge-Based Scheme for Real-Time Power Voltage Control

Author

Ma, H.M. ; Ng, Kai-Tat ; Man, Kim F.

Author_Institution

City Univ. of Hong Kong, Kowloon

Volume

4

Issue

1

fYear

2008

Firstpage

58

Lastpage

66

Abstract

A new real-time power voltage control strategy is proposed in this paper. This scheme utilizes a novel offline evolutionary multiobjective optimization algorithm called jumping genes for generating the widespread control solutions and be readily stored into a knowledge data base. A separate online multiple criteria decision-making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by the New England 39-bus power system. The system output performance was speedy and accurate.

Keywords

control engineering computing; decision making; evolutionary computation; knowledge based systems; power engineering computing; power system control; voltage control; New England 39-bus power system; evolutionary multiobjective optimization; jumping genes; knowledge data base; multiple criteria decision-making knowledge-based scheme; real-time power voltage control; Costs; Decision making; Evolutionary computation; Large-scale systems; Power generation economics; Power system control; Power system interconnection; Power system stability; Power systems; Voltage control; Coordinated voltage control; evolutionary algorithm; jumping genes; multiple criteria decision making;

fLanguage

English

Journal_Title

Industrial Informatics, IEEE Transactions on

Publisher

ieee

ISSN

1551-3203

Type

jour

DOI

10.1109/TII.2008.919320

Filename

4475684