Method and system for forecasting short-term wind speed of wind farm based on hybrid neural network

Abstract

The invention relates to a method for forecasting short-term wind speed of a wind farm based on hybrid neural network. The method comprises the following steps: S1, determining an input variable and an output variable of a hybrid neutral network forecasting model according to a preset forecasting time interval; and S2, forecasting the wind speed according to the hybrid neutral network 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 hybrid neural network. The system comprises a variable determination module for determining the input variable and output variable of the hybrid neutral network forecasting model according to the preset forecasting time interval; and a forecasting module for forecasting the wind speed according to the hybrid neutral network forecasting model to obtain the corresponding wind speed forecasting value. The method and the system provided by the invention have advantages of high computation speed and high reliability, solve the technical problem completely depending on a physical forecasting model and overcome the disadvantage of large forecasting error fluctuation based on a single model.

Description

technical field [0001] The invention relates to the field of wind speed forecasting of wind farms, and more specifically, to a method and system for short-term wind speed prediction of wind farms based on a hybrid neural network. Background technique [0002] Wind energy, as a clean and renewable energy, has received extensive attention from all over the world in recent years. Vigorously developing wind speed power generation is the need of my country's energy construction to implement a sustainable development strategy, and it is of great significance to speed up the development of the national economy, promote the adjustment of the power industry, reduce environmental pollution, and promote scientific and technological progress. my country's wind energy reserves are large, widely distributed, and have great potential. Therefore, under the environment of national policy support and tight energy supply, the development prospect of China's wind speed power generation industr...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that, aiming at the defects of low accuracy and poor reliability of short-term wind speed prediction of wind farms in the prior art, it provides a method with fast calculation speed and high reliability, which solves the technical problem of completely relying on the physical prediction model, A short-term wind speed prediction method and system for wind farms based on a hybrid neural network that can overcome the defect of a single model with large fluctuations in prediction error

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