Wind farm blower fan electric quantity analysis method

Abstract

The invention discloses a wind farm blower fan electric quantity analysis method. The method comprises steps that S1, model training is carried out according to historical blower fan data to acquire a regression model; S2, a power curve is determined according to the regression model acquired in the step S1, a power curve interval corresponding to normal blower fan operation data is determined according to the historical data on the power curve, and the power curve interval is a power band; S3, the historical data of each blower fan in a wind farm is compared with the power band, if the historical data is in the power band, the historical data is determined as normal data, the historical data is marked as the normal data, if not, the historical data is determined as abnormal data, and the historical data is marked as the abnormal data; and S4, classification statistics is carried out according to data types marked in the step S3, and whether a blower fan needs maintenance and replacement is determined according to the statistics result. The method is advantaged in that an accuracy rate of machine analysis is higher than a traditional method.

Description

technical field [0001] The invention belongs to the field of electric power system control, and relates to a method for analyzing the electric quantity of a fan in a wind farm. Background technique [0002] Wind power analysis refers to collecting data by analyzing the past power generation, wind speed, power, etc. of the wind turbine to obtain the past operating status of the wind turbine, such as how long the wind turbine was in normal operation in the past, how much normal power generation, and how much the wind turbine failed to generate. , How much loss is caused by the downtime of the fan, etc. It is of great significance to the operation, maintenance and aging analysis of wind farms. [0003] Traditional power analysis uses the standard power curve of the fan factory as the basis, draws a standard power band on the standard power curve, and further analyzes the fan power and wind speed information that has actually been generated according to the standard power band ...

AI Technical Summary

Problems solved by technology

[0004] In the analysis of the traditional method, because of its working principle, a large number of parameters need to be modified for the analysis of the aging fan and the analysis of different models, and it cannot completely cover every fan in the wind farm. The new mode will improve the power analysis. correct and more adaptable

In the actual operation of the fan, there is a gap between the power status of the fan, such as aging, performance, and replacement of spare parts, and the standard power information of the factory. Therefore, the traditional method needs to be adjusted for different types of fans, and the judgment results are still biased.

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