A kind of wind direction clustering method, device and electronic equipment

A wind direction and clustering technology, applied in the field of data clustering, can solve problems such as inapplicability, achieve the effect of ensuring reliability and authenticity, and avoiding subjectivity

Active Publication Date: 2022-07-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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  • Application Information

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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a wind direction clustering method, device and electronic equipment, which can determine the similarity measurement index and the error sum of squares criterion function through the wind direction change angle, and solve the problem that the traditional clustering algorithm is not suitable for periodic wind direction Disadvantages of clustering data

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  • A kind of wind direction clustering method, device and electronic equipment
  • A kind of wind direction clustering method, device and electronic equipment
  • A kind of wind direction clustering method, device and electronic equipment

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Embodiment 1

[0054] see figure 1 , figure 1 This is a flowchart of a wind direction clustering method provided by an embodiment of the present invention. so figure 1 As shown in , the wind direction clustering method provided by the embodiment of the present invention includes:

[0055] S110. Obtain periodic wind direction data of each wind turbine in the wind farm, where the periodic wind direction data represents the historical operation data of each wind turbine in the wind farm;

[0056] The wind turbine in this embodiment may refer to a wind generator in a wind farm. Specifically, the above-mentioned periodic wind direction data is wind direction data collected by each wind turbine in the wind farm according to a preset sampling time. For example, the above-mentioned wind direction data may be the speed of the wind, the direction of the wind, and the like.

[0057] The preset sampling time may be a designated time period within a day, for example, from 6:00 to 7:00 in the morning...

Embodiment 2

[0099] see figure 2 , figure 2 This is a flowchart of another wind direction clustering method provided by an embodiment of the present invention. like figure 2 As shown in , another wind direction clustering method provided by an embodiment of the present invention includes:

[0100] S210. Determine, according to the periodic wind direction data, a similarity measurement index applicable to the periodic wind direction data;

[0101] S220, selecting k cluster centers based on the similarity measurement index;

[0102] S230, calculate the cluster center through the following steps: calculate the similarity measurement index between each wind direction sample and k cluster centers in the periodic wind direction data, and attribute the wind direction sample to the cluster with the smallest similarity measurement index to the cluster center , complete the clustering of periodic wind direction data, and obtain k clusters; calculate the mean value of all wind direction sample...

Embodiment 3

[0112] see Figure 5 , Image 6 , Figure 5 A schematic structural diagram of a wind direction clustering device provided by an embodiment of the present invention, Image 6 This is a schematic structural diagram of another wind direction clustering device provided by an embodiment of the present invention. like Figure 5 As shown in , the wind direction clustering device includes: a data acquisition module 520, an index determination module 530, a data division module 540, a function determination module 550, and an effect determination module 560;

[0113] The data acquisition module 520 is configured to acquire periodic wind direction data of each wind turbine in the wind farm, and the periodic wind direction data represents the historical operation data of each wind turbine in the wind farm;

[0114] The index determination module 530 is configured to determine, according to the periodic wind direction data, a similarity measurement index suitable for the periodic wind...

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Abstract

The invention provides a wind direction clustering method, device and electronic equipment, wherein the method includes: acquiring periodic wind direction data of each wind turbine in a wind farm; determining a similarity measure index suitable for the periodic wind direction data according to the periodic wind direction data ; Based on the similarity measurement index, select k cluster centers, and divide the periodic wind direction data into k clusters; determine the error sum of squares criterion function based on the periodic wind direction data; The clustering effect is evaluated to determine the final clustering effect. Among them, the similarity measurement index and the error sum of squares criterion function suitable for the periodic wind direction data are determined by the periodic wind direction data, which solves the disadvantage that the traditional K-means algorithm is not suitable for the periodic wind direction data clustering, and ensures the clustering results. reliability and authenticity, and reliable and reasonable fan division can be obtained according to the clustering results, avoiding the subjectivity of artificial division of sectors.

Description

technical field [0001] The present invention relates to the technical field of data clustering, and in particular, to a wind direction clustering method, device and electronic equipment. Background technique [0002] At present, my country's wind power generation is in a period of rapid and steady development. However, wind energy has randomness and volatility, resulting in greater uncertainty in the output power of wind farms. Existing research mainly focuses on the influence of wind speed characteristics on wind power output, and wind direction is also an important factor affecting wind power output. In the study of wind direction factors, in order to avoid the disadvantage of artificial division of sectors with a certain degree of subjectivity, a clustering algorithm is used to cluster the wind direction data recorded by the fan data acquisition and monitoring system, and the wind direction sectors are divided according to the clustering results. [0003] Commonly used c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/22
Inventor 胡阳李倩房方郭小江王庆华刘吉臻
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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