LVDC和ELVDC电网的非递归系统辨识与故障检测

2018 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2018-05-27 DOI:10.1109/ISCAS.2018.8351714

C. Strobl, Maximilian Schäfer, R. Rabenstein

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引用次数: 3

摘要

低端特低压直流电网需要针对特定应用和系统电压设计的选择性故障保护。系统识别和机器学习方法有助于识别、定位和分类发生的故障事件。介绍了一类用于系统辨识和精细故障检测与分析的时域非递归大信号方法。

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Non-Recursive System Identification and Fault Detection in LVDC and ELVDC Grids

Low end extra low voltage direct current grids require selective fault protection designed for the specific application and system voltage. System identification and machine learning methods are helpful to identify, to localize and to classify occurring fault events. A category of non-recursive large-signal methods in the time domain for system identification and for refined fault detection and analysis is introduced.

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2018 IEEE International Symposium on Circuits and Systems (ISCAS)

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