A control performance monitoring method for boiler dynamic information of million-kilowatt ultra-supercritical units

Abstract

The invention discloses a method for monitoring control performance of dynamic information of a mega-kilowatt ultra-super-critical unit boiler. The power plant boiler is an important heating power device for concentratedly producing a large amount of high-temperature high-pressure superheated steam, but ash is easily accumulated and affects the operating. In order to solve the problem that it is difficult to monitor the control performance due to the plentiful parameters, complicated structure and variable working conditions of the mega-kilowatt ultra-super-critical unit boiler, the relevant information among variables of a boiler control system is analyzed and extracted through canonical variables, and the dynamic information in the relevant information and residual error information is extracted through a slow feature analysis algorithm. Finally, in combination with the relevancy and variation speed information of the variables, a boiler control performance online monitoring mode isconstructed. By means of the method, the problem that it is difficult to monitor the control performance of the large boiler due to the plentiful variables and variable working conditions is solved, the control performance online monitoring accuracy of the dynamic process is greatly improved, the effective and timely monitoring of the boiler control system by a heat-engine plant is facilitated, and the method has a decisive effect on nipping various boiler events in the bud and ensuring the safe and economic production of a whole power station.

Description

technical field [0001] The invention belongs to the field of performance monitoring of a thermal power process control system, and in particular relates to an online performance monitoring method for operating correlation information and dynamic information of a mega-kilowatt ultra-supercritical unit boiler. Background technique [0002] The control system occupies a very important position in the modern industrial process, and the production quality, operation safety, material energy consumption and other indicators that affect economic benefits are directly or indirectly related to the performance of the control system. In the actual production process, the control system often performs well when it is put into use, but after a period of operation, due to equipment wear, regular maintenance and untimely maintenance, etc., the performance of the control system may decline, and the control performance will deteriorate. It directly affects the quality of production and leads ...

AI Technical Summary

Problems solved by technology

However, the existing control performance evaluation and monitoring methods such as principal component analysis, partial least square method, and Fisher discriminant analysis are all based on the ideal assumption of stable working conditions. In the performance monitoring of the boiler control system of the critical unit, the monitoring effect cannot be obtained very well

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