基于多维标度的低压配电分支线路故障识别

Fault identification of low⁃voltage distribution branch line based on multi⁃dimensional scale

目前研究的低压配电分支线路故障识别方法对短路、断相、接触不良等故障的识别效果较差,无法精确地分析出电路电流和电压的变化特点,为了解决上述问题,基于多维标度研究了一种新的低压配电分支线路故障识别方法。建立无线传感器节点体系结构,利用多维标度确定三个信标节点,通过TDOA算法计算发射点与故障节点之间的距离,建立稳定的节点互通坐标,获取故障节点之间的坐标值,完成低压配电分支线路故障识别。实验结果表明,基于多维标度的低压配电分支线路故障识别方法能够很好地分析不同故障状态下电路电流和电压的变化特点,实现故障识别。

At present,the fault identification method of low⁃voltage distribution branch line has poor identification effect on faults such as short circuit,open phase and poor contact,and can not accurately analyze the variation characteristics of circuit current and voltage.In order to solve the above problems,a new fault identification method of low⁃voltage distribution branch line is studied based on multi⁃dimensional scale.Establish the wireless sensor node architecture,determine three beacon nodes using multi⁃dimensional scale,calculate the distance between the transmitting point and the fault node through TDOA algorithm,establish stable node interoperability coordinates,obtain the coordinate values between the fault nodes,and complete the fault identification of low⁃voltage distribution branch lines.The experimental results show that the fault identification method of low⁃voltage distribution branch lines based on multi⁃dimensional scale can well analyze the variation characteristics of circuit current and voltage under different fault states and realize fault identification.