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Spatial correlation-based method for predicting wind power in typhoon passing condition

A technology of wind power prediction and spatial correlation, applied in electrical digital data processing, instruments, calculations, etc., can solve problems such as fan system damage and wind energy loss, achieve good prediction accuracy, improve prediction accuracy, and provide good decision-making guidance Effect

Inactive Publication Date: 2016-10-05
NANJING UNIV OF SCI & TECH
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Problems solved by technology

Due to the lack of research in this area in China, correspondingly, for wind turbines in extreme weather such as typhoons, the simple method of cutting out wind turbines in advance is generally adopted, which will easily cause a lot of unnecessary wind energy losses; Possible damage to fan system due to instantaneous wind speed increase

Method used

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  • Spatial correlation-based method for predicting wind power in typhoon passing condition
  • Spatial correlation-based method for predicting wind power in typhoon passing condition
  • Spatial correlation-based method for predicting wind power in typhoon passing condition

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Embodiment Construction

[0029] The typhoon crossing wind power prediction method based on the spatial correlation of the present invention comprises the following steps:

[0030] Step 1: Collect the time series of wind speed or power at the upwind and downwind of the typhoon.

[0031] The wind speed or power data of the upwind and downwind places located at a certain distance on the typhoon track space are collected. At this time, the space distance between the two places should be long enough to allow a certain propagation time margin for the processing and prediction of the typhoon power. Spend;

[0032] Step 2: Calculate the correlation coefficient between the time series collected at the upwind and the time series collected at the downwind.

[0033] First, the current time point of the downwind position is used as the reference point, and the collection points of the upwind position are regrouped according to the collection points of the downwind position. The grouping principle is based on the ...

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Abstract

The invention proposes a spatial correlation-based method for predicting wind power in a typhoon passing condition. The method comprises the steps of acquiring wind speeds or power time sequences of a windward part and a leeward part of typhoon; calculating a correlation coefficient between the time sequence acquired at the windward part and the time sequence acquired at the leeward part; inputting data sets of the wind speeds or the power time sequences of the windward part and the leeward part in strong correlative data sets into a wavelet neural network, and training the wavelet neural network; and predicting the wind power of the leeward part by utilizing the trained wavelet neural network. According to the method, a relatively accurate solution is provided for predicting the wind power in the typhoon passing condition by utilizing spatial correlation and an optimized static neural network, and wind power dispatching in a strong wind passing condition is guided.

Description

technical field [0001] The invention belongs to the field of electric power system automation, and in particular relates to a prediction method of typhoon passing wind power based on spatial correlation. Background technique [0002] With the rapid development of the wind power industry, while bringing huge economic and social benefits to the society, the impact of wind power grid integration on the power grid also makes the stable operation of the power grid face a series of new problems. For the unstable factors brought by wind power generation, short-term and ultra-short-term wind power forecasting in advance is becoming increasingly indispensable. The guiding role of forecasting in power grid dispatching and operation and maintenance will become an important part of power grid operation in the future. [0003] At present, the wind speed environment involved in the research of wind power forecasting at home and abroad is mostly limited to large-area stable winds, and the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 蒋达康奇张俊芳许辉褚智亮毕月史媛林莎
Owner NANJING UNIV OF SCI & TECH
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