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System and method for forecasting wind electric power, and electric network system

A wind power forecasting and forecasting system technology, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of not being able to predict the power generation in advance and meet the grid prediction requirements, so as to improve the quality of wind power and reduce the cost of peak regulation Effect

Inactive Publication Date: 2009-04-22
BEIJING FANGHONGXI SCI & TECH
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Problems solved by technology

[0007] In the above structure, although the load impact on the downstream wind turbines is predicted by processing the data from each upstream wind turbine, and the power of each wind turbine is controlled, however, since it is based on the data of each wind turbine in the power plant The power control of the wind power station is performed in real time, so there is a problem that the generated power cannot be predicted in advance and the predictive requirements of the grid cannot be met

Method used

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  • System and method for forecasting wind electric power, and electric network system
  • System and method for forecasting wind electric power, and electric network system
  • System and method for forecasting wind electric power, and electric network system

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Embodiment Construction

[0029] Hereinafter, specific implementations of the wind power forecasting system involved in the present invention will be described in detail with reference to the accompanying drawings.

[0030] Such as image 3 As shown, the wind power forecasting system 100 includes a numerical weather forecasting system 101 , a data collection unit 102 , a data integration unit 103 , an arithmetic processing unit 104 , and an artificial neural network computing device 105 . Figure 4 A flow chart of the wind power prediction method of the wind power prediction system involved in the present invention is shown.

[0031] Among them, the numerical weather forecasting system 101 analyzes and sorts out the collected meteorological elements, and uses the earth fluid dynamics and thermodynamic equations and related physical laws to forecast the future weather. The numerical weather forecast system 101 outputs meteorological elements (such as wind speed, wind direction, etc.) predicted value o...

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Abstract

The present invention provides a wind power forecasting system, which utilizes the meteorological element forecast value output by a numerical weather forecast system and works out the forecast value of generation power of a wind power field in the determined future time through the calculation by a calculation processing unit. The wind power forecasting system can work out the generation power of wind power field at the future time ahead, thus providing a reliable basis for absorbing wind power by a grid, reducing peak regulation cost and improving wind power quality.

Description

technical field [0001] The present invention relates to a wind power forecasting system for predicting the future power of all wind turbines in the area where a wind farm or wind farm is located, and in particular to a wind power forecasting system for predicting the future power of wind turbines based on the output results of a numerical weather forecast system . Background technique [0002] As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. In 2006, China's cumulative installed capacity of wind power reached 2.6 million kilowatts, making it one of the major markets for wind power after Europe, the United States and India. [0003] It is well known that grid operation requires stability. Generally, traditional thermal power plants need to report the power generation curve of the next day to the grid company, and the grid company will arrange and dispatch in a unified manner to achieve the best fit to the lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/38G06F19/00
CPCY02E10/763Y02A30/00Y02E10/76
Inventor 邢方亮
Owner BEIJING FANGHONGXI SCI & TECH
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