An operation support expert system based on on-line dynamics simulation and fuzzy reasoning for startup schedule optimization in fossil power plants

Author

Matsumoto, Hirokazu ; Eki, Y. ; Kaji, A. ; Nigawara, S. ; Tokuhira, M. ; Suzuki, Y.

Author_Institution

Res. Lab., Hitachi Ltd., Ibaraki, Japan

Volume

8

Issue

4

fYear

1993

fDate

12/1/1993 12:00:00 AM

Firstpage

674

Lastpage

680

Abstract

An expert system which can support operators of fossil power plants in creating the optimum startup schedule and executing it accurately is described. The optimum turbine speed-up and load-up pattern is obtained through an iterative manner which is based on fuzzy reasoning using quantitative calculations as plant dynamics models and qualitative knowledge as schedule optimization rules with fuzziness. The rules represent relationships between stress margins and modification rates of the schedule parameters. Simulation analysis proves that the system provides quick and accurate plant startups

Keywords

digital simulation; expert systems; fuzzy control; optimal control; power station computer control; scheduling; starting; thermal power stations; turbines; fossil power plants; fuzzy reasoning; iterative methods; load-up pattern; modification rates; online dynamics simulation; operation support expert system; optimization; power station computer control; qualitative knowledge; startup schedule; stress margins; turbine speed-up; Expert systems; Fuzzy reasoning; Knowledge engineering; Optimal scheduling; Power engineering computing; Power generation; Power system modeling; Predictive models; Stress; Turbines;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.260980

Filename

260980