An expert system with fuzzy sets for optimal planning [of power system expansion]

Author

David, A.K. ; Rongda, Zhao

Author_Institution

Hong Kong Polytech., Kowloon, Hong Kong

Volume

6

Issue

1

fYear

1991

fDate

2/1/1991 12:00:00 AM

Firstpage

59

Lastpage

65

Abstract

A description is given of a long-range power system expansion planning program which incorporates three significant features. First, it is an optimizing program and uses dynamic programming for tracking an optimal expansion strategy. Second, it contains a rule-based decision making mechanism to incorporate engineering judgment based on design office experience and expert opinions. Third, since some of these considerations have to be cast in qualitative terms and need to balance many conflicting requirements, fuzzy set theory has been used to formulate a portion of the decision making procedure

Keywords

dynamic programming; expert systems; fuzzy set theory; power engineering computing; power system planning; dynamic programming; expert system; fuzzy set theory; long-range power system expansion planning; power engineering computing; rule-based decision making; Decision making; Expert systems; Fuzzy set theory; Fuzzy sets; Inference mechanisms; Optimization methods; Power engineering and energy; Power system dynamics; Power system planning; Systems engineering and theory;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.131092

Filename

131092