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A method and a device for establishing a wind power prediction model

A wind power forecasting and wind power technology, applied in forecasting, character and pattern recognition, data processing applications, etc., can solve problems such as inaccurate information and ineffective response to wind power, and achieve precise scheduling, small errors, and avoidance of inconvenience. deterministic effect

Inactive Publication Date: 2018-12-21
NANJING CHSCOM ELECTRICAL TECH CO LTD +3
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these traditional methods cannot effectively reflect the uncertainty of wind power, so the information they provide to operation dispatchers is not accurate enough

Method used

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  • A method and a device for establishing a wind power prediction model
  • A method and a device for establishing a wind power prediction model
  • A method and a device for establishing a wind power prediction model

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no. 1 example

[0060] An embodiment of the present invention provides a method for establishing a wind power prediction model, which is used for establishing a wind power prediction model to realize wind power prediction. see figure 2 , is a flowchart of a method for establishing a wind power prediction model provided by an embodiment of the present invention. The method for establishing a wind power prediction model includes:

[0061] Step S201: Normalize the acquired historical wind power parameters and corresponding historical wind power to obtain training samples and output samples.

[0062] Specifically, the normalized historical wind power parameters are used as training samples, and the historical wind power is used as output samples, and the historical wind power parameters correspond to the historical wind power, so the training samples should also correspond one-to-one.

[0063] Step S202: using the pre-stored Gaussian function as the radial basis function and the linear activat...

no. 2 example

[0079] see Figure 4 , Figure 4 A functional block diagram of an apparatus 200 for establishing a wind power prediction model provided by a preferred embodiment of the present invention. It should be noted that the basic principles and technical effects of the device 200 for establishing a wind power prediction model provided by this embodiment are the same as those of the above-mentioned embodiments. Corresponding content in the above-mentioned embodiment. The device 200 for establishing a wind power prediction model includes a first preprocessing unit 210 , a neural network establishment unit 220 , a center determination unit 230 and a weight determination unit 240 .

[0080] Wherein, the first preprocessing unit 210 is used for normalizing the acquired historical wind power parameters and corresponding historical wind power to obtain training samples and output samples.

[0081] It can be understood that, in a preferred embodiment, the first preprocessing unit 210 can b...

no. 3 example

[0091] An embodiment of the present invention provides a method for predicting wind power, which is used for predicting wind power. see Figure 5 , is a flow chart of the wind power prediction method provided by the embodiment of the present invention. The wind power forecasting method includes:

[0092] Step S501: Perform normalization processing on the acquired wind power parameters to obtain prediction samples.

[0093] Specifically, using the formula Normalize the wind power parameters to obtain forecast samples; where, For the prediction sample, x i is the wind power parameter, x min is the minimum value of wind power parameter, x max is the maximum value of the wind power parameter.

[0094] Step S502: Predict wind power prediction results based on pre-established wind power prediction models and prediction samples.

[0095] It should be noted that the wind power prediction model provided in the embodiment of the present invention is established by the method f...

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Abstract

The embodiment of the invention provides a method and a device for establishing a wind power forecasting model and a wind power forecasting method and device, which relate to the field of wind power forecasting of a power system. The method and device normalize the acquired historical wind power parameters and the corresponding historical wind power to obtain training samples and output samples, and take a pre-stored Gaussian function as a radial basis function and a linear activation function as an output function to establish a radial basis function neural network, and then adopt a K. The mean clustering algorithm trains the radial basis function neural network based on the training samples to determine the center of the radial basis function, At the same time, the least square recursionmethod is used to determine the weight of the radial basis function based on the training samples and output samples, so as to establish a wind power prediction model, which can effectively avoid theuncertainty of wind power and provide accurate forecasting information for dispatchers.

Description

technical field [0001] The present invention relates to the field of wind power prediction in electric power systems, in particular to a method and device for establishing a wind power prediction model, and a wind power prediction method and device. Background technique [0002] Wind energy is inexhaustible and inexhaustible. Compared with traditional energy sources, it has the advantages of being renewable, low cost, and free of pollutants and carbon emissions. At the same time, its large-scale and commercial development prospects and clean utilization methods make The power generation, transmission and use of wind energy resources have become a research hotspot in the current industry. However, due to the randomness and uncertainty of wind energy, when large-scale wind power is connected to the grid, it will have an important impact on the power quality of the grid. Accurate wind power forecasting is very important for power system dispatching, maintenance and planning. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/23213G06F18/214
Inventor 张莉范高锋雷震王铮王勃安德超林文莉王奎
Owner NANJING CHSCOM ELECTRICAL TECH CO LTD
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