Thermal power plant main operating parameter target value determining method based on association rule mining

Abstract

The invention provides a thermal power plant main operating parameter target value determining method based on association rule mining. The rule knowledge of a unit under certain operating conditions is acquired by using steady operating data stored in a historical operating database through an association rule mining technology, and finally the knowledge is used to guide the unit optimization operating. The method comprises the steps that the steady operating data are extracted from a unit historical operating data set through a data preprocessing technology; discretization of continuous attributes is carried out on a specific condition data set through a condition dividing result to complete data set preparation of association rule mining; and rule knowledge extraction is carried out on a discretized data set through an association rule mining technology to acquire a unit historical operating knowledge database. The knowledge database can assist an operator or a control system to make relevant decisions. According to different target attributes, the economy, stability and environment protection of unit operating can be improved, and a unit is under an excellent operating condition for a long time.

Description

technical field [0001] The invention belongs to the technical field of thermal power operation optimization, and relates to a method for determining target values ​​of main operating parameters of a thermal power plant based on association rule mining. The method is applicable to thermal power, wind power and other related fields. Background technique [0002] In order to ensure the safe, stable and efficient operation of thermal power plant units, the optimization technology of large thermal power unit operating parameters based on data mining has become one of the key areas of research. Under the same external constraints, the unit operates stably under different operating conditions due to the difference in operation. The operating condition records in the unit historical operation database cover a wide range and can truly reflect the actual operating status of the unit. The optimal and achievable operating conditions of the unit under different external conditions are al...

AI Technical Summary

Problems solved by technology

How to prevent potential knowledge from being ignored, determine the relationship between the optimal operating target working conditions and historical data, and reduce the dependence of mining results on a given minimum support threshold cannot be solved;

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