Method and system for forecasting short-term wind speed of wind farm based on data driving

Abstract

The invention relates to a method for forecasting short-term wind speed of a wind farm based on data driving. The method comprises the following steps: S1, determining an input variable and an output variable of a relevance vector machine forecasting model according to a preset forecasting time interval; S2, training the relevance vector machine forecasting model by use of a training sample set; and S3, forecasting the wind speed according to the trained relevance vector machine forecasting model to obtain corresponding wind speed forecasting value. The invention also relates to a system for forecasting short-term wind speed of the wind farm based on the data driving. The system comprises a variable determination module for determining the input variable and output variable of the relevance vector machine forecasting model according to the preset forecasting time interval; a training model for training the relevance vector machine forecasting model by use of the training sample set; and a forecasting module for forecasting the wind speed according to the trained relevance vector machine forecasting model to obtain the corresponding wind speed forecasting value. The method provided by the invention is established based on the relevance vector machine, and can accurately forecast the wind speed.

Description

technical field [0001] The present invention relates to the field of wind speed prediction of wind farms, and more specifically, to a data-driven short-term wind speed prediction method and system for wind farms. Background technique [0002] In the context of the global energy crisis and the increasingly severe environmental crisis, renewable energy has received widespread attention in recent years. As one of the renewable energy sources with great potential, wind energy has received great attention and shows a broad space for growth. Wind power can effectively alleviate problems such as air pollution and global warming while providing sufficient power supply for economic growth. China's current wind power market is developing rapidly. Many overseas companies have entered China one after another, and domestic companies have also entered the wind power market one after another. Therefore, under the environment of national policy support and tight energy supply, the develop...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a data-driven short-term forecasting method for wind farms based on correlation vector machines, aiming at the defects of low accuracy and poor reliability in the short-term wind speed prediction of existing wind farms, which bring pressure to the operation of the power grid. Wind forecasting method and system to realize accurate estimation of wind speed

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