Evaluation method for stepwise regression of thermal power equipment performances

Abstract

The invention discloses an evaluation method for stepwise regression of thermal power equipment performances. The method is used for solving the problems of the difficulty to establishing an optimal regression equation and obtain equipment performance optimal values automatically and the quantitative obtaining of the influence degree of all influence conditions on equipment performances. According to the evaluation method, thermal power plant real-time/historical data are used, and through a multiple stepwise regression analysis modeling method, an optimal prediction model reflecting equipment performance parameters and influence conditions is built, and accordingly, optimal performance values that the equipment is ought to reach under all work conditions and the independent influence degree of relevant parameters which are not clear in coupling relationships on equipment performances are obtained. Implementation software of the method can be inlaid in a prior thermal power unit SIS system, and the purposes of instruction of automatic optimization of thermal power equipment and optimization of production operations can be achieved without increasing hardware and costs.

Description

technical field [0001] The invention belongs to the field of thermal power equipment modeling, analysis and evaluation, and specifically relates to a thermal power equipment performance stepwise regression evaluation method, which utilizes the data of the stable operation of the unit, establishes an equipment optimization model through a multiple stepwise regression analysis method, and automatically obtains the optimal value. The model can be used to guide the production operation of the unit. Background technique [0002] With the continuous development of thermal power unit monitoring and control technology, more and more enterprises are no longer satisfied with the simple "safety" control system, but more hope to realize the automatic optimization of unit equipment performance, and then guide the production and operation. Ensure that the performance of each equipment of the unit is always in the optimal state. [0003] In thermal power units, there are often problems su...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a stepwise regression evaluation method for thermal power equipment performance, which solves the problem of automatically establishing an equipment performance optimization model for the unit under different working conditions, and uses the real-time / historical data judged by stable working conditions as the basis Based on the multiple stepwise regression analysis method, with the performance index as the dependent variable and the influencing conditions as the independent variable, a multivariate optimal value prediction model is established to obtain the optimal value of the performance index under each working condition of the equipment, which can be used to guide actual production Run to determine the best performance of the unit; and use the standard regression coefficient to determine the degree of independent influence of each non-dimensionalized influence condition on the performance of the equipment

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