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Wind field power prediction method and system, server and computer readable storage medium

A power prediction and server technology, which is applied in the fields of servers and computer-readable storage media, wind farm power forecasting methods, and systems, can solve problems such as reducing the power forecasting efficiency of wind farms, and achieve the effect of avoiding manual review and improving forecasting efficiency.

Pending Publication Date: 2021-09-28
SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] In the existing technology, the judgment of various data of the wind field often requires manual review, which greatly reduces the efficiency of wind field power prediction

Method used

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  • Wind field power prediction method and system, server and computer readable storage medium
  • Wind field power prediction method and system, server and computer readable storage medium
  • Wind field power prediction method and system, server and computer readable storage medium

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Embodiment Construction

[0037] As recorded in the background art, with the continuous development of new energy technologies, wind power has begun to be connected to the grid on a large scale. However, due to the constant changes in wind speed, wind direction and other data, wind power also presents variable characteristics, which poses a huge challenge to wind power grid integration. In order to improve this situation, wind farm power prediction becomes very important and indispensable. In the prior art, the judgment of various data of the wind field often requires manual review, which greatly reduces the efficiency of wind field power prediction.

[0038] The problems existing in the prior art are all the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above problems and the solutions to the above problems proposed by the embodiments of the present invention below should all be It is the contribution made by the inventor during the inve...

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Abstract

The embodiment of the invention provides a wind field power prediction method and system, a server and a computer readable storage medium, and relates to the field of wind power generation. The method comprises the following steps: receiving first data acquired by an acquisition terminal, preprocessing the first data to obtain second data, and performing prediction through a preset learning model according to the second data to obtain predicted power, training the learning model through historical wind power data, historical temperature data, historical humidity data, historical wind speed data and historical wind direction data. According to the invention, intelligent prediction of the wind field power can be realized, traditional manual auditing is avoided, and the prediction efficiency of the wind field power is effectively improved.

Description

technical field [0001] The present invention relates to the field of wind power generation, in particular to a wind farm power prediction method, system, server and computer-readable storage medium. Background technique [0002] With the continuous development of new energy technologies, wind power has begun to be connected to the grid on a large scale. However, due to the constant changes in wind speed, wind direction and other data, wind power also presents variable characteristics, which poses a huge challenge to wind power grid integration. In order to improve this situation, wind farm power prediction becomes very important and indispensable. [0003] In the prior art, the judgment of various data of the wind field often requires manual review, which greatly reduces the efficiency of wind field power prediction. Contents of the invention [0004] The purpose of the present invention is to provide a wind farm power prediction method, system, server and readable stora...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06Q10/06G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06Q10/067G06N3/08G06N3/044Y04S10/50Y02E40/70
Inventor 闵仕君何珂李智欢刘恺翟福谊李路遥陈世杰
Owner SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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