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机构地区:[1]上海电力学院电力与自动化工程学院,上海200090
出 处:《华东电力》2012年第5期808-812,共5页East China Electric Power
基 金:国家自然科学基金项目(60801056);上海市教育委员会重点学科建设资助项目(J51303)~~
摘 要:依据实际电力系统输电线路进行短路故障实例仿真,通过改变三相故障模块的参数设置产生各种故障,得到短时电压变动三种不同类型的故障信号。分别采用小波和提升小波检测这三种短时电压变动的故障信号,仿真结果表明小波和提升小波都能够准确地检测故障信号的奇异点;但是提升小波的重构误差比小波的重构误差要小很多,体现了提升小波相比小波在算法上的精确性。因此,提升小波更适合电力系统准确、实时操作的要求。The short-circuit fault cases were simulated according to the actual power system transmission line. Various faults occurred by changing the parameters of three-phase fault module, thereby three different types of fault signals in the short duration voltage variation were obtained, and then were detected by means of the wavelet and the lifting wavelet, respectively. The simulation results show that both the wavelet and the lifting wavelet can accurately detect the singularity of fault signals. However, the reconstruction errors of the lifting wavelet are much fewer than those of the wavelet, showing higher accuracy in calculation. Therefore, the lifting wavelet is more suitable for the accurate and real-time operating requirements in the power system.
分 类 号:TM93[电气工程—电力电子与电力传动]
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