GA-LSTM-based steam turbine valve flow characteristic function optimization method

Abstract

The invention relates to a GA-LSTM-based steam turbine valve flow characteristic function optimization method. The method comprises the following steps: collecting historical operation data; determining a training set and a verification set of the data; building an LSTM-based steam turbine valve flow characteristic function optimization model; constructing a turbine valve flow characteristic model based on the GA-LSTM neural network; optimizing a steam turbine valve flow characteristic model of the GA-LSTM neural network, and drawing an optimized steam turbine valve flow characteristic curve; according to the invention, a long-time-consuming valve flow characteristic test is avoided, the workload of workers is reduced, the optimal fitting function is obtained through deep learning of massive historical data, then the relation between the steam turbine comprehensive valve position instruction and the actual steam admission amount is optimized, the optimal steam turbine valve flow characteristic curve is obtained, and support is provided for steam turbine valve flow characteristic analysis and parameter optimization.

Description

technical field [0001] The invention relates to a method for optimizing the flow characteristic function of a steam turbine valve based on GA-LSTM. Background technique [0002] With the continuous progress of social economy, electrical appliances occupy an important position in people's life, and people's electricity consumption also increases thereupon. This also requires that the power plant must provide high-quality and stable electric energy to ensure people's living needs. Grid frequency is an important factor affecting power quality, and primary frequency regulation is also an important means to maintain grid frequency stability. However, the unsatisfactory valve flow characteristics of the steam turbine will affect the accuracy of the primary frequency modulation, resulting in the deterioration of the linearity of the valve flow characteristics. Therefore, in order to improve the accuracy and level of the primary frequency modulation, it is of great significance to ...

AI Technical Summary

Problems solved by technology

However, the unsatisfactory valve flow characteristics of the steam turbine will affect the accuracy of the primary frequency modulation, resulting in the deterioration of the linearity of the valve flow characteristics. Therefore, in order to improve the accuracy and level of the primary frequency modulation, it is of great significance to correct and optimize the flow characteristic curve of the valve.

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