Hydroelectric generating set multi-dimensional vibration area fine division method based on decision tree model

Abstract

The invention provides a hydroelectric generating set multi-dimensional vibration area fine division method based on a decision-making tree model. The method comprises steps of S1, obtaining a workingcondition parameter and a stability parameter of a set state monitoring system, and carrying out data cleaning, S2, determining a unit stability parameter threshold, S3, constructing a judgment matrix and dividing the judgment matrix into a training set and a test set, S4, establishing a decision tree model by using the training set, and S5, completing a precision test by using the test set, andsubstituting the precision test into the decision tree model to predict whether the new working condition belongs to the vibration area. The method is advantaged in that a big data mode is adopted, unit state on-line monitoring system data is fully utilized, the effective data information is mined, the effective data information is applied to unit vibration area full-water-head fine division, a problem of predicting whether uncovered data points are located in the vibration area or not is solved, and the method considers multi-dimensional working conditions, and improves accuracy of the vibration area division model of the unit based on big data mining.

Description

technical field [0001] The invention relates to the technical field of hydroelectric units, in particular to a method for finely dividing multi-dimensional vibration regions of hydroelectric units based on a decision tree model. Background technique [0002] The vibration of a hydroelectric unit is jointly affected by hydraulic factors, mechanical factors, and electrical factors, which is coupled and complex. Hydroelectric units mostly take on the role of peak regulation and frequency regulation in the power grid. The units may operate in a wide range of loads. When allocating the output of hydroelectric units, the vibration of the hydro turbine must be considered to avoid working in the vibration area. When the vibration is within a reasonable range, the unit can run safely and stably. If the vibration is too severe, it will deteriorate the economic benefits of the power plant and shorten the service life of the unit, and even easily cause fatigue and fracture of parts, res...

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Problems solved by technology

[0003] Aiming at the problem in the prior art that only measures the data of limited water head and partial load, the amount of data is insufficient, and the data coverage is not enough, which leads to the problem that there is often a large error between the division of the vibration area and the real situation, the present invention proposes a decision tree model-based The fine division method of multi-dimensional vibration area of ​​hydropower unit solves the problem of predicting whether the uncovered data points are in the vibration area, and considers the multi-dimensional working conditions to improve the accuracy of the vibration area division model of the unit based on big data mining

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