A novel wavelet-based feature extraction from common mode currents for fault location in a residential DC microgrid
A novel wavelet-based feature extraction from common mode currents for fault location in a residential DC microgrid
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一种新颖的基于小波的共模电流特征提取，用于住宅直流微电网中的故障定位
DOI：
10.1109/icrera.2017.8191152
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
R. Cuzner
中科院分区：
文献类型：
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作者：
Siavash Beheshtaein;Junyang Yu;R. Cuzner
直流社区和住宅微电网被认为是偏远地区电气化的有效手段，这是世界许多地区（尤其是印度）做出的巨大努力的结果，而且尼泊尔、喀麦隆、新几内亚和尼日利亚也做出了类似的努力。到目前为止，已经开发出模块化方法，可以构建基于光伏和电池存储的可扩展微电网。然而，随着这些系统的激增，有必要开发安全可靠的故障保护方法。接地故障尤其值得关注，因为在许多情况下，电缆埋在地下。同时，只要能源通过电力电子转换器连接到微电网，微电网就具有电流监控和处理能力。本文讨论了识别标准直流微电网结构内接地故障行为的方法，并提出了使用小波提取有关故障位置和类型的特定信息的方法。还介绍了所需的传感硬件、采样率和处理要求。
DC community and residential microgrids are recognized as effective means for electrification of remote areas as a result of monumental efforts in many parts of the world — most significantly in India — but also through similar efforts in Nepal, Cameroon, New Guinea and Nigeria. So far modular approaches have been developed that enable construction of scalable microgrids based on PV and battery storage. However, as these systems proliferate, it will be necessary to develop safe and reliable methods for fault protection. Ground faults are of specific concern because, in many cases, cables are buried underground. At the same time, microgrids include current monitoring and processing capability wherever an energy resource interfaces to the microgrid through a power electronic converter. This paper discusses methods for identifying ground fault behavior within standard DC microgrid structures and proposes methodologies for extracting specific information about the location and type of fault using wavelets. The sensing hardware, sampling rates and processing requirements that are needed are also presented.