Intelligent wind turbine generator working condition identification system and method

Abstract

The invention discloses an intelligent wind turbine generator working condition identification method which is used for identifying working conditions of a wind turbine generator comprising a plurality of subsystems. The method includes the steps of obtaining a plurality of parameters of the wind turbine generator; dividing the parameters into global parameters and local parameters; extracting eigen values of the plurality of parameters; and obtaining an eigen value vector of each parameter according to the eigen value of each parameter; and classifying the eigen value vectors of the plurality of parameters into global working conditions and subsystem working conditions through a first layer self-organizing map neural network and a second layer self-organizing map neural network to obtain a working condition identification result of the wind turbine generator. The plurality of parameters of the wind turbine generator are adopted to analyze the wind turbine generator working conditions, the wind turbine generator working conditions are divided into the plurality of global working conditions and subsystem working conditions, wind turbine generator working condition identification stability can be improved, and monitoring precision for wind turbine generator running is improved.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to a system and method for identifying working conditions of an intelligent wind turbine. Background technique [0002] As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. Its reserves are huge, and the global wind energy is about 2.74×10 9 MW, of which the available wind energy is 2×10 7 MW is 10 times larger than the total amount of water energy that can be developed and utilized on the earth. [0003] Convert the kinetic energy of the wind into mechanical kinetic energy, and then convert the mechanical energy into electrical kinetic energy, which is wind power generation. The principle of wind power generation is to use the wind to drive the blades of the windmill to rotate, and then increase the speed of rotation through the speed increaser to drive the generator to generate electricity. According to the cur...

AI Technical Summary

Problems solved by technology

But in fact, the operating conditions of wind turbines cannot be effectively described by only using limited parameter thresholds to describe the complex and changeable operating conditions of wind turbines.

Therefore, the wind power monitoring system adopting this monitoring strategy of the prior art is likely to make wrong judgments and make mistakes such as false alarms in the actual monitoring process, which will directly affect the normal operation of the wind turbines.

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