小波分析理论在开关柜电弧保护系统中的应用

2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2018-04-22 DOI:10.1109/IGBSG.2018.8393524

S. Han, Shilei Guan, Yan Wu, Z. Bo, Yan Ding, Ji Zhang

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引用次数: 0

摘要

针对传统10kV开关柜电弧保护故障、动作时间过长的缺点，设计了基于DSP的电弧保护系统策略。本系统采用电弧语音识别、电弧检测和电流检测来识别开关柜电弧故障，具有数据处理能力强、运行速度快的优点。同时，将小波分析理论应用于故障信号的处理和识别。为开关柜提供可靠、安全的快速电弧故障保护。最后搭建局部放电测试平台进行实验，通过实验验证了该策略的有效性和正确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of wavelet analysis theory in the switch cabinet arc protection system

Considering the shortcomings of malfunction and too long action time of arc protection for traditional 10kV switch cabinet, arc protection system policy is designed in this article based on DSP. This system uses arc voice recognition, arc detection and current detection to identify switchgear arc fault, and has the advantage of strong data processing capability and fast operation. Meanwhile, wavelet analysis theory is applied to fault signal processing and recognition. This can provide reliable, secure fast arc fault protection for switch cabinet. Finally, partial discharge test platform is built to experiment, and the effectiveness and correctness of this strategy is verified by the experiment.

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来源期刊

2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

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