Draught fan clustering method and device for wind power plant

A clustering method and wind farm technology, applied in the field of wind farms, can solve problems such as inability to accurately model wind farms with equivalent values, achieve accurate clustering, accurate clustering results, and improve computing efficiency

Pending Publication Date: 2020-12-18
SHANGHAI DIANJI UNIV
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AI Technical Summary

Problems solved by technology

CLARANS clustering, like K-means clustering, requires a preset number of clusters, and it may not be possible to accurately model wind farms due to inappropriate clustering numbers.

Method used

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  • Draught fan clustering method and device for wind power plant
  • Draught fan clustering method and device for wind power plant
  • Draught fan clustering method and device for wind power plant

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Experimental program
Comparison scheme
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Embodiment

[0034] like figure 1 As shown, this embodiment proposes a clustering method for wind farm fans based on an optimized agglomerative hierarchical clustering algorithm, which mainly includes the following steps:

[0035] 1. Obtain the fan characteristics of each fan in the wind farm, and generate the space vector of each fan according to the fan characteristics of each fan.

[0036] (1) Determine the fan characteristics and number them.

[0037] Fan characteristics include wind speed, wind direction, output active power, generator terminal voltage, output current RMS and power factor.

[0038] (2) Generate a space vector.

[0039] T=(t 1 , ..., t n )

[0040] Among them, T is the space vector, t 1 -t n is the characteristic value of the 1-nth type of fan.

[0041] 2. Optimize the agglomerative hierarchical clustering algorithm, as follows:

[0042] (1) Integrate the space vector of each fan. Integrate by calculating the distance between each space vector to improve the ...

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Abstract

The invention relates to a draught fan clustering method and device for a wind power plant. The method comprises the steps that S1, acquiring draught fan characteristics of all draught fans of the wind power plant; S2, generating a space vector of each fan according to the fan characteristics of each fan; S3, obtaining a clustering result of draught fans of the wind power plant by utilizing a space vector of each draught fan and an optimized condensation hierarchical clustering algorithm; the device comprises a memory and a processor, the processor calls a program of the draught fan clusteringmethod stored in the memory of the wind power plant to obtain a draught fan clustering result of the wind power plant, and grid connection of the wind power plant is carried out. Compared with the prior art, the invention has the advantages that the clustering result is more accurate and efficiency is higher.

Description

technical field [0001] The present invention relates to the field of wind farms, in particular to a method and device for clustering fans of wind farms. Background technique [0002] With the rapid development of economy, people's demand for electricity is increasing day by day, and the utilization of new energy is increasing. As an important part of new energy, wind energy has been continuously studied. An indispensable part of wind energy research is the modeling and simulation of wind farms. Reasonable modeling can accurately study the characteristics of wind turbines. [0003] Among them, the dynamic modeling of large-scale wind farms is the most complicated. At present, the dynamic modeling technology of large-scale wind farms mainly focuses on the equivalent simulation through multi-machine equivalent modeling. Some technologies propose to use K-means clustering algorithm for dynamic modeling of large-scale wind farms, which requires a preset number of clusters. How...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G06F18/2321
Inventor 孙启硕刘三明王致杰
Owner SHANGHAI DIANJI UNIV
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