中国电机工程学报2017，Vol.37Issue(23)：6995-7003,9.DOI:10.13334/j.0258-8013.pcsee.162355
模块化多电平换流器的子模块开路故障检测方法
An Open Circuit Fault Detection Method for Sub-modules in Modular Multi-level Converters
摘要
Abstract
Aiming at sub-module open circuit fault characteristics of modular multi-level converters (MMC),a diagnostic method was proposed based on unsupervised learning-least squares mutual information of spectral clustering and the total least squares support vector machine.The former was used for the failure feature information extraction and the latter was applied to the fault classification and recognition.A 201-level MMC simulation system,which enables to set faults,was constructed in MATLAB/Simulink.Three phase current signals of converters under the normal and fault operation conditions were collected,then after three phase current signals through the filter denoising processing,the Hilbert envelope decomposition method was used for the signals.Subsequently the mean envelope was obtained.Using the least squares average mutual information of spectral clustering on the mean envelope,and the tag set was obtained,then put the tag set and data set as a least squares support vector machine (SVM) based on the whole training set and get the classification model,at last.The MMC faults can be classified and recognized through the total least squares support vector machine.The simulation results confirm that the proposed methods can efficiently recognize the open failures of MMC high levels and realize intelligent decision.关键词
模块化多电平换流器/整体最小二乘支持向量机/故障识别/谱聚类/子模块开路故障Key words
modular multi-level converter/total least squares support vector machine/fault recognition/spectral clustering/sub-module open circuit fault分类
信息技术与安全科学引用本文复制引用
李翠,刘振兴,柴利,徐波,张波涛..模块化多电平换流器的子模块开路故障检测方法[J].中国电机工程学报,2017,37(23):6995-7003,9.基金项目
国家自然科学基金项目(61174107,61471275).Project Supported by National Natural Science Foundation of China (61174107,61471275). （61174107,61471275）
