Wind power plant short-term wind power prediction system in view of operating state of wind power plant draught fan

A technology for predicting the operating state of wind turbines and wind power is applied in the field of wind power generation and distribution, which can solve the problems of low prediction accuracy and incomplete prediction parameters, achieve high prediction accuracy, overcome incomplete prediction parameters and low prediction accuracy, and improve forecasting. The effect of precision

Inactive Publication Date: 2013-12-11
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004] In the process of realizing the present invention, the inventors found that at least there

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  • Wind power plant short-term wind power prediction system in view of operating state of wind power plant draught fan
  • Wind power plant short-term wind power prediction system in view of operating state of wind power plant draught fan

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[0032] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0033] According to an embodiment of the present invention, such as figure 1 with figure 2 As shown, a wind farm short-term wind power forecasting system that takes into account the operating status of wind farm fans is provided. The terminal can be filled in through the start-up plan of the wind farm, and the next day's planned start-up status information of the wind farm (such as the next day's maintenance of each fan, Shutdown and other operating conditions) are considered in the short-term wind power forecasting model to effectively improve the forecasting accuracy of wind farm power forecasting.

[0034] The short-term wind power forecasting system for wind f...

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Abstract

The invention discloses a wind power plant short-term wind power prediction system in view of an operating state of a wind power plant draught fan. The wind power plant short-term wind power prediction system mainly comprises a super-short-term wind power output prediction module, a numerical weather prediction obtaining and analyzing module, a data collecting platform and a wind field real-time information collecting module, wherein the numerical weather prediction obtaining and analyzing module, the data collecting platform and the wind field real-time information collecting module are respectively connected with the super-short-term wind power output prediction module. The wind power plant short-term wind power prediction system in view of the operating state of the wind power plant draught fan can overcome the defects that in the prior art, prediction parameters are not comprehensive and prediction accuracy is low, and can achieve the advantages of being comprehensive in predication parameter and high in predication accuracy.

Description

technical field [0001] The invention relates to the technical field of wind power generation and distribution, in particular to a short-term wind power prediction system for a wind farm that takes into account the operating status of wind turbines in the wind farm. Background technique [0002] The existing forecasting system does not consider the operating status of wind farm fans in its short-term power forecasting model, and cannot take into account information such as fan maintenance, power-limited shutdown, and fan failure. [0003] However, it is very common for wind turbines in wind farms to shut down due to maintenance, failure, and power cuts. This is also one of the most important reasons for the low accuracy of existing wind power forecasting systems. [0004] During the process of realizing the present invention, the inventors found that the prior art at least has defects such as incomplete prediction parameters and low prediction accuracy. Contents of the inve...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 王玮付嘉渝姚旭曹潇崔方王知嘉于炳霞丁宇宇周强贾怀森李晓虎
Owner STATE GRID CORP OF CHINA
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