基于物联网边缘计算的配电网故障定位方法

DESIGN AND APPLICATION OF DISTRIBUTION NETWORK FAULT LOCATION METHOD BASED ON IOT EDGE COMPUTING

泛在电力物联网背景下,沿用传统配电网故障定位运行方式数据规模急剧扩大,并且定位速度慢、精度低,因此提出一种与边缘计算相适应的故障定位新方法。依托配电自动化系统,采用边缘计算的智能分布式Agent模式,通过电网络拓扑自动识别App和矩阵-果蝇优化算法App的交互,在保证定位速度和精度的前提下缓解主站压力,大大提高故障定位可靠性。MATLAB仿真实验的结果表明,对同一个网络拓扑,该方法与传统定位方法相比具有更快的定位速度和较高的精度。

In the context of the UEP-IoT,the data scale of the traditional distribution network has been expanded sharply,and the location speed is slow and the accuracy is low.Therefore,a new fault location method adapted to edge computing is proposed.Relying on the distribution automation system,we used the intelligent distributed Agent mode of edge computing,and the interaction between App and matrix-fruit fly optimization algorithm App was automatically recognized through the electric network topology,so that the pressure on the main station was relieved under the premise of ensuring the location speed and accuracy,which greatly improved the reliability of fault location.The results of MATLAB simulation experiments show that for the same network topology,the proposed method has faster location speed and higher accuracy than traditional location methods.