Low Voltage Power Grid Metering Node Monitoring based on Loss and Data Analysis

Abstract

In recent years, low-voltage low voltage power grid has become a hot spot in smart grid construction and research due to its close relationship with users and the complexity of equipment structure. The timely monitoring and troubleshooting of abnormal metering points in low-voltage low voltage power grid directly relates to the user's satisfaction with power consumption and power supply service level. This paper presents a low voltage power grid metering node status monitoring based on power recursive algorithm. Firstly, based on the synchronous measurement data and the law of flow conservation, the metering point state model of low voltage power grid is constructed. Then, the equivalent resistance method is used to calculate the network loss, and the network loss is removed from the power data of the superior node. Then, the power recursive algorithm is used to solve the model. With the continuous input of power data set, the state of each metering node will be gradually updated, and finally a stable metering node state is obtained. Through setting the threshold value to further distinguish the status of each metering node, finally determine the normal metering node and abnormal metering node. The practical results show that this method has a high accuracy rate for state discrimination of metering nodes, especially for power-stealing nodes, nodes with communication problems and nodes with serious aging parts, the proposed method has a strong sensitivity.