基于双模态分解和RES-SA模型的VSC-STATCOM逆变器故障识别  

VSC-STATCOM inverter fault recognition based on bimodal decomposition and RES-SA model

作　　者：毕贵红[1] 陈冬静 赵四洪 孔凡文 张靖超 陈仕龙[1] BI Guihong;CHEN Dongjing;ZHAO Sihong;KONG Fanwen;ZHANG Jingchao;CHEN Shilong(School of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)

机构地区：[1]昆明理工大学电力工程学院,云南昆明650500

出　　处：《云南大学学报(自然科学版)》2025年第1期49-59,共11页Journal of Yunnan University(Natural Sciences Edition)

基　　金：国家自然科学基金(51767012).

摘　　要：电压源型静止同步补偿器(voltage source static synchronous compensator,VSC-STATCOM)可以减少电压峰谷波动、有效控制谐波和补偿无功功率,从而改善电能质量.其中,VSC-STATCOM正常工作是逆变器稳定运行的前提,并网情况下逆变器绝缘栅双极型晶体管(insulated gate bipolar transistor,IGBT)开路故障诊断需要考虑负载动态变化所导致故障信号复杂程度高、复杂系统各元件间相互作用以及高背景噪声的影响等因素,对故障信号特征提取和识别提出了更高的要求.论文以并网逆变器VSC-STATCOM不同类型开路故障为对象,提出一种融合双模态分解信号处理方法与残差注意力网络RES-SA模型的组合故障诊断方法.针对单模态多尺度信号分解方法对高背景噪声和复杂信号特征提取不充分的问题,提出利用完备经验模态分解和奇异谱分解两种分解方法对同一故障信号进行双模态多尺度分解,并将三相电流双模态多尺度分量整合为输入特征矩阵,为RES-SA深度学习组合模型提取隐藏特征提供基础.不同方案的仿真结果表明提出的方法特征提取能力强,且抗噪性能好,对并网型逆变器IGBT开路故障识别率准确高.Voltage source static synchronous compensator(VSC-STATCOM)can improve power quality by reducing peak and valley voltage fluctuations,effectively controlling harmonics and compensating reactive power.Among them,the normal operation of VSC-STATCOM is a prerequisite for the safe and reliable operation of the inverter.The diagnosis of IGBT open-circuit faults of the inverter under the grid-connected situation needs to consider the high complexity of the fault signal due to the dynamic change of the load,the interaction of the various components of the complex system,as well as the influence of high background noise,which puts forward a higher requirement for the extraction and identification of the fault signal features.A combined fault diagnosis method integrating the bimodal decomposition signal processing method and the residual attention network RESSA model is proposed to address this problem.The method utilizes three-phase compensated current signals from various open-circuit faults in a grid-connected inverter VSC-STATCOM as fault samples.To address the limitations of single-modal multi-scale signal decomposition for extracting complex signal features amidst high background noise,it employs two decomposition methods(CEEMDAN and SSD).This approach enables twomodal multi-scale decomposition of the same fault signals and integrates the three-phase current bi-modal multiscale components into the input feature matrix.Such integration supports the RES-SA deep learning model in extracting hidden features.The simulation results of different schemes show that the proposed method has strong feature extraction capability and good noise immunity,and has a high recognition rate of open-circuit faults of gridconnected inverters IGBT.

关 键 词：电压源型静止同步补偿器 信号分解技术 残差网络 自注意力机制 故障诊断 

分 类 号：TM464[电气工程—电器]