| 引用本文: | 沈静,方春恩,梁鸣华,等.基于正弦信号固有特征的故障选相研究[J].电力系统保护与控制,2013,41(19):87-94.[点击复制] |
| SHEN Jing,FANG Chun-en,LIANG Ming-hua,et al.Study of fault-type identification using inherent characteristics of the sinusoidal signal[J].Power System Protection and Control,2013,41(19):87-94[点击复制] |
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| 摘要: |
| 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220 kV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5 ms。 |
| 关键词: 输电线路 短路故障 故障识别 矩阵变换函数 短时动态去噪 |
| DOI：10.7667/j.issn.1674-3415.2013.19.014 |
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| 基金项目:四川省教育厅项目（12ZB131）；“流体及动力机械”省部共建教育部重点实验室项目（SBZDPY-11-13, 14）；四川省电力电子与电力传动重点学科（SZD0503） |
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| Study of fault-type identification using inherent characteristics of the sinusoidal signal |
| SHEN Jing1,FANG Chun-en1,LIANG Ming-hua2,LI Wei1,LUO Yan1,ZHANG Bi-de1,ZHAI Fan3 |
| () |
| Abstract: |
| 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 established in MATLAB/Simulink environment, simulation results show that the method has high sensitivity and reliability and it can accurately identify the short-circuit fault under different conditions, theoretically, the time of fault detection and phase selection does not exceed 5 ms. |
| Key words: transmission line short-circuit fault fault identification matrix transformation function short-time dynamic denoising |
