基于正弦信号固有特征的故障选相研究  

Study of fault-type identification using inherent characteristics of the sinusoidal signal

作　　者：沈静[1] 方春恩[1] 梁鸣华 李伟[1] 罗彦[1] 张彼德[1] 翟帆[3] 

机构地区：[1]西华大学,四川成都610039 [2]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 [3]四川省电力公司遂宁公司,四川遂宁629000

出　　处：《电力系统保护与控制》2013年第19期87-94,共8页Power System Protection and Control

基　　金：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)

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。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.

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 

分 类 号：TM755[电气工程—电力系统及自动化]