Application of genetic based fuzzy systems to hydroelectric generation scheduling

Author

Huang, Shyh-Jier

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

14

Issue

3

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

724

Lastpage

730

Abstract

An application of genetic based fuzzy systems to hydroelectric generation scheduling is presented in this paper. In the proposed approach, the system was fuzzified with respect to objectives and constraints. A genetic algorithm was included to further enhance the process of tuning membership functions. By this way, membership mappings for those important parameters can be optimally adjusted. The computational performance is thus improved. The proposed approach has been tested on the Taiwan Power System (Taipower) through the utility data. Test results have demonstrated the feasibility and effectiveness of the proposed approach for the applications

Keywords

fuzzy systems; genetic algorithms; hydroelectric power stations; power generation planning; power generation scheduling; Taiwan; computational performance; constraints; genetic based fuzzy systems; hydroelectric generation scheduling; membership functions tuning process; membership mappings; objectives; Fuzzy systems; Genetic algorithms; Hydroelectric power generation; Hydroelectric-thermal power generation; Power generation; Power generation economics; Power systems; Processor scheduling; Reservoirs; Simulated annealing;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.790942

Filename

790942