李辰辰,叶至斌,宁联辉,史宇超,吴靖,汤明,徐国丰
LI Chenchen,YE Zhibin,NING Lianhui,SHI Yuchao,WU Jing,TANG Ming,XU Guofeng

• 1:电力设备电气绝缘国家重点实验室(西安交通大学)
• 2:国网浙江省电力有限公司杭州供电公司

摘要(Abstract)：

M3C（模块化多电平矩阵式换流器）子模块数量众多，常规故障检测和定位方法存在效率低、覆盖性不足、等效性差等问题。实现子模块IGBT（绝缘栅双极型晶体管）批量化非侵入故障检测和子模块电容的在线监测，对于M3C换流站的稳定运行尤为重要。为此，设计了一种基于低压交流源预充电方法的子模块IGBT非侵入式故障检测和定位策略，并提出一种基于子模块电容电压跳变特征和卡尔曼滤波算法的子模块电容状态参数综合在线监测方法。在PSCAD/EMTDC仿真平台搭建M3C换流站模型进行验证，仿真结果表明所提出的方法能高效准确地实现故障的检测定位以及电容状态的在线监测。
There are a large number of submodules in modular multilevel matrix converter(M3C). Conventional fault detection and location methods have problems such as low efficiency, insufficient coverage and poor equivalence. It is particularly important for the stable operation of the M3C converter station to realize batch non-intrusive fault detection of the submodules and the online state monitoring of its capacitor. Therefore, this paper designs a strategy of non-intrusive fault detection and location for submodule IGBT based on low-voltage AC source precharging method. Moreover, it puts forward an integrated online monitoring method of state parameters of submodule capacitors based on submodule capacitor voltage jump characteristics and Kalman filter algorithm. Finally, the M3C converter station model is built in PSCAD/EMTDC simulation platform for verification. The simulation results show that the proposed method can efficiently and accurately realize fault detection, location, and online monitoring of capacitor state.

关键词(KeyWords)： 模块化多电平矩阵式换流器;子模块故障;非侵入故障检测;电容状态在线监测
modular multilevel matrix converter;submodule fault;non-intrusive fault detection;online monitoring of capacitor state

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（B311HZ210009）

作者(Author): 李辰辰,叶至斌,宁联辉,史宇超,吴靖,汤明,徐国丰
LI Chenchen,YE Zhibin,NING Lianhui,SHI Yuchao,WU Jing,TANG Ming,XU Guofeng

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