Improved identification methods for thermal power equipment mathematical models

Abstract

The purpose of this work is to describe an improved procedure for parameter identification (adjustment, verification) of mathematical models of complex thermal power equipment. This procedure allows more efficient detection of gross errors in measurements of control parameters used for the identification of the mathematical model of the operated equipment. It also evaluates the accuracy and allows to correct the construction errors of the model itself increasing identification accuracy. Besides, the paper describes an original approach to consideration of the effect of a generating unit load on the internal relative efficiencies of turbine compartments. It can be applied to other adjustable coefficients of the mathematical model with the nonlinear dependence on equipment operation modes. The improved identification methods of mathematical models have been tested on the detailed mathematical model of the contemporary 225 MW generating unit designed by the author. The article presents the results of solving the identification problem of the generating unit mathematical model and an example of the optimization calculation of the real operation mode aimed at decreasing specific fuel consumption for electricity generation.