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作 者:王翠翠[1,2] 王维庆[1,2] 王海云[1,2] 杨少平[1,2] WANG Cuicui;WANG Weiqing;WANG Haiyun;YANG Shaoping(School of Electrical Engineering, Xinjiang University, Urumqi 830000, China;Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology, Urumqi 830049, China)
机构地区:[1]新疆大学电气工程学院,乌鲁木齐830000 [2]可再生能源发电与并网技术教育部工程研究中心,乌鲁木齐830049
出 处:《高压电器》2018年第4期72-80,共9页High Voltage Apparatus
基 金:国家863计划(2013AA050604);自治区自然科学基金(2013211A006);新疆科技厅重点实验室开放课题(2015KL020)~~
摘 要:为了快速、准确地对柔性多端直流输电系统(VSC-MTDC)中电压源换流器(VSC)的故障进行诊断,提出了一种基于小波奇异熵(WSE)理论和相关向量机(RVM)的诊断方法。首先,在PSCAD/EMTDC中搭建了三端直流输电系统的仿真模型,并对电压源换流器的几种常见故障进行了仿真分析。其次,以VSC-MTDC直流侧电压作为故障信号源,利用小波奇异熵理论对仿真数据进行故障特征提取,将得到的故障特征向量作为相关向量机的输入样本。最后,利用相关向量机对换流器故障进行诊断,结果表明,小波奇异熵理论可以较好地提取电压源换流器的故障特征,相关向量机比同等条件下的支持向量机具有更高的诊断准确率和更短的诊断时间。In order to diagnose the fault of voltage source converter (VSC) in VSC- MTDC more quickly and accurately, a fault diagnosis method based on wavelet singular entropy(WSE) theory and relevance vector machine (RVM) is proposed.Firstly, based on PSCAD/EMTDC, a simulation model of three-terminal DC transmission system is built, and several common faults of VSC are simulated and analyzed.Secondly, the DC side voltage of VSC -MTDC is used as the fault signal source, using the wavelet singularity entropy theory to extract the fault features of the simulation data. The obtained fault feature vector is used as the input sample of RVM.Finally, RVM is used to diagnose the fault of VSC.The final findings show that, the wavelet singular entropy theory can be well used to extract the fault features, and RVM has higher diagnostic accuracy and shorter diagnosis time than SVM under the same conditions.
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