Wind power prediction method and system based on artificial neural network

Abstract

The invention provides a wind power prediction method and system based on an artificial neural network. The prediction system comprises a wind speed model establishment module, a single-machine power prediction module and a regional power prediction module. The wind speed model establishment module is used for acquiring and processing annual wind speed data of a prediction area; the wind speed model establishment module comprises a wind speed classification unit, a single-day wind speed processing unit, a single-month wind speed gathering unit and a whole-year wind speed gathering unit; the wind speed classification unit is used for classifying effective wind speeds; the single-day wind speed processing unit is used for summarizing wind speed duration of a single day; according to the method, the annual generation power of a certain region can be predicted based on the annual wind speed model and the power conversion efficiency of the wind power generator, so that the problems that the existing wind power generation power prediction is relatively general and not accurate enough are solved.

Description

technical field [0001] The invention relates to the technical field of wind power forecasting, in particular to a wind power forecasting method and system based on an artificial neural network. Background technique [0002] Wind power prediction technology refers to the prediction of the power output by wind farms in the future in order to arrange dispatching plans. This is because wind energy is an unstable energy source with random fluctuations, and the incorporation of large-scale wind power into the system will inevitably bring new challenges to the stability of the system. The power production scheduling agency needs to understand the wind power output power in the next few hours. The artificial neural network abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. A neural network is an operational model that consists of interconnected c...

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Problems solved by technology

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a wind power prediction method and system based on artificial neural network, which can predict the annual wind power of a certain area based

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