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A rbf ultra-short-term wind power prediction method based on wind speed frequency division and weight matching

A wind power forecasting and ultra-short-term technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of unable to reflect the dynamic characteristics of the system, unable to track power trends, etc., to achieve scientific and reasonable forecasting methods, effective forecasting results, and forecasting accuracy high effect

Active Publication Date: 2022-03-18
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

For the artificial intelligence method, it has great advantages in dealing with nonlinear time series, but it cannot reflect the dynamic characteristics of the system
Overall, existing forecasts fail to track future power trends

Method used

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  • A rbf ultra-short-term wind power prediction method based on wind speed frequency division and weight matching
  • A rbf ultra-short-term wind power prediction method based on wind speed frequency division and weight matching
  • A rbf ultra-short-term wind power prediction method based on wind speed frequency division and weight matching

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Embodiment Construction

[0049] A RBF ultra-short-term prediction method based on wind speed frequency division and weight matching in the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] to combine Figure 1-Figure 3 , a kind of RBF ultra-short-term prediction method based on wind speed frequency division and weight value matching of the present invention, comprises the following steps:

[0051] 1) Extraction of wind speed features at different frequencies

[0052] Numerical weather prediction information includes temperature, momentum flux, wind direction, wind speed at each height, humidity and other information. Since the wind speed information at the hub height is most closely related to power, the fluctuation characteristics of the 100-meter wind speed information are extracted. The extraction of fluctuation features is obtained by two methods of least squares filtering and empirical mode decomposition (EMD). The sp...

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Abstract

The invention relates to the field of wind power technology, and is an RBF ultra-short-term wind power prediction method based on wind speed frequency division and weight matching. , frequency division optimal weight distribution, simulation calculation and error analysis and other steps, and the existing time series only considering the historical wind power data, the present invention can track the future power trend, the physical meaning is clear, and consider the frequency division characteristics of wind speed . It has the advantages of high prediction accuracy, effective prediction results, strong applicability and practicability, etc.

Description

technical field [0001] The invention relates to the technical field of wind power, and relates to an RBF ultra-short-term wind power prediction method based on wind speed frequency division and weight matching. Background technique [0002] Wind power is a new energy with the most large-scale development conditions. Its output characteristics are different from thermal power and nuclear power. It is a typical intermittent power source, mainly determined by meteorological factors such as wind speed and wind direction, and has significant anti-peak characteristics and uncertainty. Large-scale wind power grid integration brings severe challenges to power system operation. Accurate wind power forecasting will have a positive impact on the safe operation of the power system and power dispatching, thereby obtaining better economic and environmental benefits. [0003] The ultra-short-term forecast of wind power refers to the forecast of the next 15 minutes to 4 hours from the fore...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F30/27G06N3/04
CPCG06Q10/04G06Q50/06G06N3/045
Inventor 杨茂董昊
Owner NORTHEAST DIANLI UNIVERSITY
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