Abstract
The problems of state estimation of thermal power system operation and identification of mathematical model parameters have not been acceptably solved due to the complexity of studied objects and their mathematical models, and the lack of effective methods, algorithms and computer programs to solve the required mathematical problems. The results of solving the indicated problems are of importance as such, and play a great part in the qualitative solution to the problems of thermal power equipment control, e.g., the problems of optimal load dispatch among thermal power plant units and optimal control of thermal power equipment operation conditions. The paper describes an effective three-stage technique of mathematical model identification of complex thermal power equipment. The technique allows us to more effectively detect gross errors in measurements of control parameters used for identification of the mathematical model of the studied equipment, to evaluate correctness and rectify errors in the mathematical model construction, and to improve identification accuracy. The article presents a new formulation of the optimization problem for more efficient identification of mathematical models of heat power equipment. An effective three-stage technique of mathematical model identification of complex thermal power equipment was tested on a detailed mathematical model of the present-day 225 MW generating unit that was constructed by the author. The paper presents results of solving the identification problem of mathematical model parameters of a generating unit.
Highlights
Thermal power plants (TPPs) and combined heat and power plants (CHPPs) operating on fired fuels continue to form the basis of the electric power industry in the Russian Federation, especially in the regions of the Urals and Siberia
This paper describes an effective three-stage technique for identifying mathematical models of complex heat and power equipment, which allows to achieve high accuracy of tuning the TPP models to its actual state
The overall accuracy of the identification problem solution can be obtained by calculation of the sum of the absolute relative discrepancies in control parameters in all considered operation conditions by the formula
Summary
Thermal power plants (TPPs) and combined heat and power plants (CHPPs) operating on fired fuels continue to form the basis of the electric power industry in the Russian Federation, especially in the regions of the Urals and Siberia. The authors proposed to apply a new integrated approach when adjusting mathematical models of existing heat and power equipment to its real state based on the results of measurements of control parameters. This paper describes an effective three-stage technique for identifying mathematical models of complex heat and power equipment, which allows to achieve high accuracy of tuning the TPP models to its actual state.
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