IGBT health state evaluation method of wind power converter power module

Abstract

The invention, which belongs to the field of IGBT state monitoring of the wind power converter power module, relates to an IGBT health state evaluation method of a wind power converter power module. The method that classifies IGBT working states based on an unsupervised learning iterative self-organizing clustering algorithm comprises the following steps: S1, collecting an ambient wind speed, a temperature, and powers of machine side and network side converters; and S2, carrying out health state classification on IGBT working states by using an unsupervised learning iterative self-organizing clustering algorithm. According to the invention, the data acquisition and implementation algorithms are simple; the potential relationship of monitoring data of the wind power converter power module can be dug out through health evaluation based on the unsupervised learning iterative self-organizing clustering algorithm; and the operation and maintenance difficulty of the wind power converter power module is effectively reduced.

Description

technical field [0001] The invention belongs to the field of IGBT state monitoring of a power module of a wind power converter, and in particular relates to a method for evaluating the health state of an IGBT of a power module of a wind power converter. Background technique [0002] Wind power converter power semiconductor device IGBT is an extremely important core device of power electronics, the core device of energy conversion and transmission, and the core component of wind power generation and power electronic devices. Using IGBT for power conversion can improve power efficiency and quality , with the characteristics of high efficiency, energy saving and green environmental protection, is the key supporting technology to solve the problem of energy shortage and reduce carbon emissions. Power semiconductor devices generally have the following characteristics: 1) High voltage: if the general IGBT is V CE 2) High current: The current of the power device depends on W / L. Un...

AI Technical Summary

Problems solved by technology

[0004] IGBT health evaluation currently uses methods based on junction temperature evaluation, loss evaluation, and solder layer fatigue, and generally uses evaluation indicators such as thresholds, which cannot provide an in-depth multi-parameter evaluation system

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