Wind speed prediction method and system based on long-term and short-term memory time neural network

Abstract

The invention relates to the field of wind power plant wind speed prediction, and discloses a wind speed prediction method and system based on a long-term and short-term memory time neural network, and the method comprises the steps: A) collecting existing historical wind speed data and actually measured wind speed data; b) analyzing the bad data, carrying out data preprocessing to obtain a wind speed sample, and constructing a wind speed sample database; c) dividing the wind speed sample database into a training sample database, a verification sample database and a detection sample database;d) constructing a long-term and short-term memory neural network model; and E) predicting the wind speed by using the trained long-short-term memory neural network model to obtain a wind speed prediction value. Under the condition of completely utilizing historical data, the wind energy prediction is realized by establishing the long-short-term memory time neural network model and optimizing parameters of the long-short-term memory neural network model, and the prediction precision is high.

Description

technical field [0001] The invention relates to the field of wind speed forecasting in wind farms, in particular to a wind speed forecasting method and system based on a long-short-term memory temporal neural network. Background technique [0002] The influence of wind energy by natural factors is relatively complex. Wind speed is an important parameter for wind turbine pitch control and torque control. Wind power is largely affected by the change of wind speed in the wind farm. The randomness of wind speed will have a great impact on wind power grid connection. Therefore, predicting the wind speed of the wind farm will greatly improve the utilization rate and stability of wind energy. [0003] At present, many scholars at home and abroad have studied the problem of wind speed prediction in wind farms, and have also proposed a variety of methods, such as Kalman filter method, wavelet analysis method, BP neural network and support vector machine. Among them, the Kalman filte...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problems of large prediction errors of traditional prediction models and the inability to effectively use historical information, and provides a wind speed prediction method and system based on long-short-term memory time neural network

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