基于正弦信号固有特征的故障选相研究
为快速准确识别高压输电线路短路故障，提出一种故障检测与选相的新方法。基于正弦信号经矩阵变换时移不变的特性，应用4采样点短数据窗的矩阵行列式变换函数，动态滑动窗口进行短路故障检测。对采集的各相电流电压值经短时动态去噪后计算其矩阵变换函数K系数值，通过K值与阈值的比较识别故障类型。在Matlab／Simulink下搭建220kV双端电源输电系统短路故障模型进行验证，结果表明，该方法能在不同条件下准确识别短路故障，具有较高的灵敏性、可靠性，理论上故障检测与选相不超过5ms。...
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| Published in | 电力系统保护与控制 Vol. 41; no. 19; pp. 87 - 94 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
西华大学,四川 成都,610039%四川省水电投资经营集团珙县弘利电力有限公司,四川 宜宾,644500%四川省电力公司遂宁公司,四川 遂宁,629000
2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-3415 |
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| Summary: | 为快速准确识别高压输电线路短路故障，提出一种故障检测与选相的新方法。基于正弦信号经矩阵变换时移不变的特性，应用4采样点短数据窗的矩阵行列式变换函数，动态滑动窗口进行短路故障检测。对采集的各相电流电压值经短时动态去噪后计算其矩阵变换函数K系数值，通过K值与阈值的比较识别故障类型。在Matlab／Simulink下搭建220kV双端电源输电系统短路故障模型进行验证，结果表明，该方法能在不同条件下准确识别短路故障，具有较高的灵敏性、可靠性，理论上故障检测与选相不超过5ms。 |
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| Bibliography: | SHEN Jing1, FANG Chun-en, LIANG Ming-hua2, LI Wei1, LUO Yan1, ZHANG Bi-de, ZHAI Fan3 （1. Xihua University, Chengdu 610039, China; 2. Gongxian Hongli Power Ltd. of Sichuan Hydropower Investment ＆ Management Group Ltd., Yibin 644500, China; 3. Suining Electric Power Corporation of SEPC, Suining 629000, China） 41-1401/TM In order to identify the short-circuit fault of high-voltage transmission lines fast and accurately, a novel method for fault detection and phase selection is discussed. Based on shift invariant features of sinusoidal signals after matrix transformations, applying matrix transformation function with 4 sampling points ultra-short data window, the short-circuit fault is detected by dynamic sliding window. The sampling values of each phase current and voltage are used to calculate their K values after short-time dynamic denoising, through comparison of the K value and the threshold, the fault type is identified. A short-circuit fault model of 220 kV dual-source power transmission system is establishe |
| ISSN: | 1674-3415 |