Abstract
Novel research results subject to the generation of agile numerical models for a real electric power plant are presented in this paper. Using only instrument measurements of various variables located in different parts of the power station, filtering algorithms are programmed for the computation of numerical models that describe system operation and are agile to adapt between different operational regimes. The contents of the paper constitute original industrial research conducted to a real electric power generation facility. The presented results were validated on site by the power plant’s chief engineers.
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