基于LPWAN的低压配电网拓扑自动识别技术研究

Research on Automatic Recognition Technology of Low-Voltage Distribution Network Topology Based on LPWAN

低压配电网拓扑自动识别对配电网运行控制和精益化管理具有十分重要的作用。为了实现对低压配电台区运行情况全面感知,本文提出一种基于LPWAN物联网的低压配电网拓扑自动识别成图方法。该方法利用故障电流上行和电流总量汇总的原理,结合电路网络树状算法进行边缘计算,对采集的故障电流数据进行重复性的验证,形成节点的层级关系和分支并行关系。依据该方法,在台区现场实验测试中,测试结果表明该设备能够快速精准实现台区拓扑自动成图、失地故障精确查找、漏电检测和线损检测等功能。实验结果验证了该算法的准确性性和可行性。

The automatic identification of low-voltage distribution network topology plays a very important role in the operation control and lean management of the distribution network.In order to realize a comprehensive perception of the operating conditions of low-voltage distribution stations,this paper proposes a method for automatic identification and mapping of low-voltage distribution network topology based on the LPWAN Internet of Things.This method uses the principles of fault current upward and total current summarization,combined with the circuit network tree algorithm for edge calculation,and repeats the verification of the collected fault current data,forming the hierarchical relationship of nodes and the parallel relationship of branches.According to this algorithm,in the field test of the station area,the test results show that the equipment can quickly and accurately realize the functions of automatic map of the station area topology,accurate search of ground faults,leakage detection and line loss detection.The experimental results verify the accuracy and feasibility of the algorithm.