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Wind turbine generator power curve modeling method based on k-medoids algorithm

A technology for power curves and wind turbines, applied in computer-aided design, calculation, electrical digital data processing, etc.

Inactive Publication Date: 2021-04-02
新天绿色能源股份有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to factors such as temperature, air pressure, and air density, as well as external factors such as different brands of fans and different main control systems, there are differences in the power curves of different wind farms or even different models of the same wind farm.

Method used

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  • Wind turbine generator power curve modeling method based on k-medoids algorithm
  • Wind turbine generator power curve modeling method based on k-medoids algorithm
  • Wind turbine generator power curve modeling method based on k-medoids algorithm

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention.

[0050] Such as figure 1 As shown, the present invention discloses a method for modeling wind turbine power curves based on the k-medoids algorithm, comprising the following steps:

[0051] Step S1: Read relevant data in the SCADA database, wind farm failure records and related maintenance and repair records;

[0052] The range of data read in this step should be at least one year of data. If the input data has special requirements, it should be clearly pointed out and corresponding special treatment should be done. Such as figure 2 Shown is the original set of data points.

[0053] Step S2: Perform data cleaning on the collected data; if image 3 Shown is the data point set for data cleaning;

[005...

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Abstract

The invention discloses a wind turbine generator power curve modeling method based on a kmedoids algorithm. The wind turbine generator power curve modeling method comprises the following steps of S1,reading related data, wind power plant fault records and related maintenance records in an SCADA database; s2, performing data cleaning on the collected data; s3, carrying out abnormal value screeningon the cleaned data; s4, performing standardized correction on the data; and S5, performing interval division statistics on corresponding indexes, and establishing a standard power curve data model.The method overcomes the defects in the prior art, can effectively play a key role in judging the standard conformity of the power curve of the wind generating set, is beneficial to evaluating the related index completeness of the generating capacity of the wind power plant, and can deeply understand the actual running state of the wind generating set; The guidance is provided for regular inspection, early warning and other operation and maintenance work of the wind turbine generator.

Description

technical field [0001] The invention relates to the technical field of wind farm performance post-evaluation, in particular to a k-medoids algorithm-based power curve modeling method for wind turbines. Background technique [0002] The wind turbine power curve is a curve representing the corresponding relationship between the output power and wind speed of the wind turbine under normal operating conditions, and is an important measure for the design of the wind turbine control system. According to the wind resources of the wind farm, the annual wind frequency and wind energy distribution of the single machine and the whole field can be further obtained, and the corresponding annual power generation can be calculated by combining the power curve adapted to it. However, due to factors such as temperature, air pressure, and air density, as well as external factors such as different brands of fans and different main control systems, there are differences in power curves between ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F113/06
CPCG06F30/20G06F2113/06
Inventor 臧鹏梅春晓谭建鑫张清清王艳阳龚思远褚军涛
Owner 新天绿色能源股份有限公司
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