摘要
基于同塔双回输电线路故障时激发的宽频暂态信息,充分利用同塔双回输电线路中非故障线路作为宽频暂态信息的传播通道,提出了利用两条线路上故障宽频信息比对的方法进行单端测距的措施.以零序电流为主要测量信息,对两回线路的零序电流进行全频域分解,挖掘宽频信息特征,并将整体特征作为输入,运用BP神经网络进行训练,区分出故障线路与非故障线路.对故障线路与非故障线路同端检测以提取全频暂态电气信息,利用S变换作为暂态信号分析工具,寻找故障线路与非故障线路的三相瞬时功率突变的时间点,综合运用算法融合的优势形成智能判据,实现故障线路测距,并通过仿真验证了该方法的有效性.
The broadband transient information excited by the fault of double-circuit Transmission Line on the same tower is studied,and the non-fault line in the double-circuit transmission line on the same tower is fully utilized as the transmission channel of the broadband transient information.A method of single-terminal fault location is proposed based on the comparison of broadband fault information between two lines.With the zero sequence current as the main measurement information,the zero sequence current of the two-circuit lines is decomposed in all frequency domain to mine the characteristics of wide-band information.The whole feature is used as input,and the BP neural network is used to train the fault line and the non-fault line,and the fault line and the non-fault line are detected at the same end to extract the full-frequency transient electrical information.The S transform is used as a transient signal analysis tool to find the time point of three-phase instantaneous power mutation of fault line and non-fault line.The simulation results prove the effectiveness of the proposed method.
作者
宋建
束洪春
董俊
梁雨婷
单节杉
常勇
SONG Jian;SHU Hongchun;DONG Jun;LIANG Yuting;SHAN Jieshan;CHANG Yong(Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处
《昆明理工大学学报（自然科学版）》
北大核心
2021年第3期102-109,共8页
Journal of Kunming University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(51667010)
云南省重大科技专项计划项目(202002AF080001)。
关键词
宽频信息
单端测距
BP神经网络
S变换
算法融合
broadband information
single-end fault location
BP neural network
S-transform
algorithm fusion
作者简介
宋建(1978-),男,博士研究生,实验师.主要研究方向:复杂系统啟与控制.E-mail:songjian0803@163.com;通信作者:董俊(1977-),男,博士研究生,讲师.主要研究方向:配电网故障检测与保护控制.E-mail:dongjun_kust@sina.com。
