Wind turbine generator system abnormal data recognition method and device

Abstract

The invention provides a wind turbine generator system abnormal data recognition method and device. The wind turbine generator system abnormal data recognition method includes: acquiring wind speed data and corresponding power data of a wind turbine generator system; determining power data of the wind turbine generator system, included in each preset power range; determining the wind speed data corresponding to each power range according to the power data included in each power range; using a nuclear density function to fit and determine the probability density of the wind speed data corresponding to each power range; determining a wind speed range of each power range according to the wind speed data corresponding to each power range and the probability density corresponding to the wind speed data; and recognizing abnormal data of the wind turbine generator system according to the wind speed range of each power range. The technical scheme can display a normal operation power band of the wind turbine generator system finally, can provide a data foundation for power characteristic curve modeling of the wind turbine generator system, and provide a support for fan power characteristic evaluation and wind power plant electric quantity loss evaluation.

Description

technical field [0001] The invention relates to wind power technology, in particular to a method and device for identifying abnormal data of a wind power generating set. Background technique [0002] With the increasingly serious environmental pollution and the gradual increase in the consumption of traditional fossil energy, new energy is showing a trend of vigorous development. As the most promising form of new energy power generation for commercial application, wind power is developing rapidly all over the world. Wind turbine is the basic power generation unit of wind power generation, and its related technologies are also constantly developing. [0003] At present, due to the influence of many factors during the actual operation of wind turbines, the actual power characteristic curve is not completely consistent with the theoretical power characteristic curve. In order to realize the reasonable modeling of the actual power characteristic curve of wind turbines, it is n...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, the power corresponding to the maximum value of the probability density function in the wind speed interval is used as the power of the wind speed segment, and there are two disadvantages: due to the existence of a large number of power-limited data, the power corresponding to the maximum value of the probability density function may not be the normal operation of the fan. Power value; using a single power value to replace the remaining operating status of the fan, the result is too one-sided

Images