Method for identifying flow characteristic curve of governing valve for steam turbine based on DCS (Distributed Control System) data mining

Abstract

The invention discloses a method for identifying a flow characteristic curve of a governing valve for a steam turbine through a DCS (Distributed Control System) data mining technique. The method for identifying the flow characteristic curve of the governing valve for the steam turbine through the DCS data mining technique comprises the following steps of a, selecting sampling points relevant to the flow characteristic analysis of the governing valve, and obtaining DCS data; b, dividing the DCS data into data mining objects, auditing abnormal values in the data mining objects, and calculating the average value, the range and the slope of each sampling point of the data mining objects; c, carrying out dimensionality reduction on the range and the slope of each data mining object by applying a principal component analysis method; d, carrying out clustering on the running state of the governing valve by applying DBSCAN (Density-Based Spatial Clustering of Applications with Noise); e, correcting the data mining objects to rated boundary parameters by applying variable working condition characteristics of the steam turbine, a category-I correction curve and a category-II correction curve; f, fitting the data mining objects by applying a moving least-square method to obtain the flow characteristic curve of the governing valve for the steam turbine. The method for identifying the flow characteristic curve of the governing valve for the steam turbine through the DCS data mining technique can be used for identifying the flow characteristic curve of the governing vale of the steam turbine under the rated boundary parameters, and can be used for the parameter setting and optimization of a controller, so as to guarantee a generator set to run safely, stably and economically.

Description

technical field [0001] The invention relates to the technical field of steam turbine power generation, in particular to a method for identifying a flow characteristic curve of a steam turbine valve based on DCS data mining Background technique [0002] In recent years, distributed control system (Distributed Control System, DCS for short) has been applied to most thermal power units, and at the same time, a large number of DCS data streams for equipment operation have been formed. Although the DCS data flow contains rich and valuable information, due to its massiveness, diversity, dynamics, and interconnectedness, the analysis of DCS data and knowledge acquisition have become thorny issues and cannot be fully utilized. Massive data has brought more and more serious data disasters and resource waste. [0003] Due to the long-term erosion of the main steam, the valve of the steam turbine is in a frequently active operating state, and is affected by the aging, deformation and ...

AI Technical Summary

Problems solved by technology

On the one hand, the constant-sliding pressure curve of the unit under different loads changes, and the throttling loss increases, which affects the economical efficiency of the unit; Decreased static response characteristics, increased parameter fluctuations, etc., affecting the safety of the unit

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