Water turbine speed regulation optimization control method and system based on neural network

Abstract

The invention relates to the technical field of water turbine control, in particular to a water turbine speed regulation optimization control method and system based on a neural network, and the method comprises the steps: collecting each type of monitoring data of each group of data in a water turbine under each working condition, and obtaining an interference significance coefficient of each modal component of each type of monitoring data in each group of data under the same working condition, frequency domain conversion is carried out on each modal component of each type of monitoring data, an interference influence coefficient of each modal component of each type of monitoring data in each group of data under the same working condition is obtained, an adjustment coefficient corresponding to each modal component is further obtained, and noise reduction processing is carried out on each modal component to obtain a noise reduction result; the method comprises the steps of obtaining an adjusting threshold value of each modal component of each type of monitoring data in each group of data under the same working condition, carrying out linear processing on each type of monitoring data and then carrying out region division so as to construct a multi-objective optimization function of a linear model of each region, and then carrying out speed regulation optimization control on a water turbine through a neural network. The precision of water turbine speed regulation optimization control is improved.

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