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Wind power prediction method and device, computer equipment and storage medium

A wind power prediction and wind power technology, applied in the field of electric power, can solve the problem of low accuracy of wind power prediction, achieve the effects of accurate target wind power prediction value, improve prediction accuracy, and eliminate errors

Pending Publication Date: 2022-01-14
TSINGHUA UNIV +1
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Problems solved by technology

[0004] However, the above-mentioned methods of wind power prediction often have the problem of low prediction accuracy of wind power

Method used

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  • Wind power prediction method and device, computer equipment and storage medium
  • Wind power prediction method and device, computer equipment and storage medium
  • Wind power prediction method and device, computer equipment and storage medium

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Embodiment Construction

[0071] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0072] Wind power technology refers to the technology of using wind energy to generate electricity. With the development of wind power technology, the proportion of wind power generation in the power system is gradually increasing. The output of wind power generated by wind power technology has the characteristics of strong fluctuation and uncertainty, which will seriously affect the stability and safety of the power system. Accurate wind power forecasting technology can effectively reduce the uncertainty of wind power and improve the power system's ability to maintain rea...

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Abstract

The invention relates to a wind power prediction method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring weather forecast data corresponding to target forecast time, and inputting the weather forecast data into a wind power forecast model to obtain a wind power forecast value corresponding to the target forecast time; according to a preset power interval division condition, determining a target wind power interval to which the wind power prediction value belongs, and obtaining a wind power correction value corresponding to the target wind power interval, the wind power correction value being determined according to a historical wind power prediction value and a historical wind power measurement value corresponding to the target wind power interval; and correcting the wind power prediction value by using the wind power correction value to obtain a target wind power prediction value corresponding to the target prediction time. By adopting the method, the accuracy of wind power prediction can be improved.

Description

technical field [0001] The present application relates to the field of electric power technology, in particular to a wind power prediction method, device, computer equipment and storage medium. Background technique [0002] Wind power technology refers to the technology of using wind energy to generate electricity. It is becoming more and more common to use wind power to generate electricity in the power system. The output wind power generated by wind power technology has the characteristics of strong fluctuation and uncertainty, which will seriously affect the stability and safety of the power system. [0003] In related technologies, short-term forecasting of wind power power is generally carried out, that is, wind power power is predicted in a short period of time in the future, and dispatching plans are arranged based on the forecast results, so as to improve the ability of the power system to maintain real-time energy supply and demand balance and ensure the stability o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06N3/08G06N3/044
Inventor 乔颖鲁宗相李佳明王楠袁帅程艳张兴友张元鹏
Owner TSINGHUA UNIV