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作 者:刘座辰 林磊[1] 殷天翔 黄一洪 时晓洁 Liu Zuochen;Lin Lei;Yin Tianxiang;Huang Yihong;Shi Xiaojie(State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology,Wuhan 430074 China)
机构地区:[1]强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院),武汉430074
出 处:《电工技术学报》2022年第19期4883-4894,共12页Transactions of China Electrotechnical Society
基 金:国家自然科学基金项目(51977093);湖北省自然科学基金重点项目(2019CFA049)资助。
摘 要:基于模块化多电平换流器(MMC)子模块(SM)开关器件故障引起的电容电压异常变化问题,该文提出一种故障快速检测与诊断方法。首先通过局部离群因子(LOF)算法分析桥臂中所有子模块对应的电容电压逐段求和值,从而同时实现对故障子模块的快速检测与定位;之后通过判断故障子模块所在桥臂中正常子模块电容电压的变化趋势快速识别故障开关器件,完成故障分类。由于所提方法具有局部异常特征分析的特性,可适用于单一故障、同桥臂多故障及不同桥臂多故障发生的全部故障类型。同时,该方法不受系统参数不确定性的影响,适用性强,且相较于传统方法具有更快的诊断速率。仿真与实验结果验证了所提方法的有效性。Based on the abnormal change of capacitor voltage caused by the fault of the modular multilevel converter(MMC) sub-module(SM) switching device, a fast fault detectio n and diagnosis method was proposed in this paper. The local outlier factor(LOF) algorithm was used to analyze the stepwise summation value of capacitor voltages of all sub-modules in one arm, so as to detect and locate the faulty SM(s) rapidly and simultaneously. Then, from the capacitor voltage variation of the healthy SM in the same arm, the faulty switching device can be quickly identified and the fault classification can be completed. Because the proposed method can analyze local abnormal characteristics, it can be applied to any fault types including single fault, multiple faults in the same arm and multiple faults in different arms. The proposed method is not affected by the uncertainty of system parameters, and has strong applicability and fast diag nostic speed. Simulation and experimental results verify the effectiveness of the proposed method.
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