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
CN112101393APending Publication Date: 2020-12-18SHANGHAI DIANJI UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI DIANJI UNIV
Publication Date
2020-12-18

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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.
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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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