Model Identification Method and System for Power Plant Control Loop

Abstract

The present invention provides a power plant control loop model identification method and system. The method includes: obtaining the operating data of the power plant unit; performing fast linear fitting on the operating data based on the revolving door algorithm and determining the curve that reflects the changing trend of the curve on the fitted curve. Key point: Calculate the slope of the data segment between four adjacent key points in turn and compare them with the corresponding threshold value to determine whether a step occurs or whether there is a data segment with a slope greater than the first preset value; if so, The least square method and improved genetic algorithm are used for model identification to obtain the transfer function model of the control loop. This method provides a modeling tool for the optimal design and debugging of the control system of the power plant unit. It does not need to obtain intermediate quantities such as re-tangent, two points, etc., simplifies the identification process of the power plant control loop model, and is practical.

Description

technical field [0001] The invention relates to the technical field of power plants, in particular to a method and system for identifying a control loop model of a power plant. Background technique [0002] In recent decades, process control technology has developed rapidly, and conventional control processes can be automatically carried out under the control of industrial control computers. However, as modern control systems gradually become larger and more complex, there are a large number of variables and circuits in the system that need to be monitored. . For the power industry, with the continuous increase of unit capacity, the structure of the automatic control system of large units is more complex, the safe and economical operation of the unit is more important, and the requirements for automation are getting higher and higher. In order to better achieve the control goal, it is necessary to master the dynamic characteristics of various process equipment and automatic...

AI Technical Summary

Problems solved by technology

Because some systems cannot easily cut off the feedback loop of the process, otherwise the process may be out of control and seriously affect production, which requires that the identification must be carried out in a closed-loop state

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