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

• Published in: IEEE 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
• Language: English
• 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

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...