Novel Fault Diagnosis Scheme for HVDC System via ESO

作     者：YAN Bing-yong TIAN Zuo-hua SHI Song-jiao 

作者机构：Department of Automation Shanghai Jiao Tong University Shanghai 200240 China 

出 版 物：《高电压技术》 (High Voltage Engineering)

年 卷 期：2007年第33卷第11期

页      面：88-93页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Project Supported by National Natural Science Foundation of China(60574081) 

主　　题：高压直流输电系统 故障检验与识别 故障诊断 分支状态观测器 

摘      要：A novel fault detection and identification(FDI)scheme for HVDC(High Voltage Direct Current Transmission)system was *** was based on the unique active disturbance rejection concept,where the HVDC system faults were estimated using an extended states observer(ESO).Firstly,the mathematical model of HVDC system was constructed,where the system states and disturbance were treated as an extended *** augment HVDC system was established by using the extended state in rectify side and converter side,***,a fault diagnosis filter was established to diagnose the HVDC system faults via the ESO *** evolution of the extended state in the augment HVDC system can reflect the actual system faults and disturbances,which can be used for the fault diagnosis purpose.A novel feature of this approach is that it can simultaneously detect and identify the shape and magnitude of the HVDC faults and ***,different kinds of HVDC faults were simulated to illustrate the feasibility and effectiveness of the proposed ESO based FDI *** with the neural network based or support vector machine based FDI approach,the ESO based FDI scheme can reduce the fault detection time dramatically and track the actual system fault *** s more important,it needs not do complex online calculations and the training of neural network so that it can be applied into practice.