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

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 calcula...

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Bibliographic Details
Published inIEEE transactions on energy conversion Vol. 8; no. 4; pp. 674 - 680
Main Authors Matsumoto, H., Eki, Y., Kaji, A., Nigawara, S., Tokuhira, M., Suzuki, Y.
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.12.1993
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Expert systems
Fuzzy reasoning
Installations for energy generation and conversion: thermal and electrical energy
Knowledge engineering
Optimal scheduling
Power engineering computing
Power generation
Power system modeling
Predictive models
Stress
Thermal power plants
Turbines
Thermal stress
Fuzzy logic
Expert system
Starting
Fossil fuel
Turbine
Numerical simulation
Optimization
Combined power plant
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Summary: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.< >
ISSN:0885-8969
1558-0059
DOI:10.1109/60.260980