Low-voltage power grid data abnormity traceability method and system based on association matching analysis

The invention discloses a low-voltage power grid data abnormity traceability method, system, device and medium based on correlation matching analysis, and the method comprises the steps: employing the measurement data of a low-voltage power distribution area terminal, including the power, voltage, current and other information collected by intelligent ammeters of a distribution transformer node and a user node; establishing a topology detection model based on virtual impedance, and deeply analyzing and measuring the electrical distance between the nodes; by introducing a double-implicit-layer recurrent neural network, modeling is carried out on a mapping relation among power flow variables in measurement data of each node, and correlation matching among the nodes is realized; based on correlation matching analysis among the nodes, virtual impedance values among the nodes are calculated, so that whether topology connection among the nodes is abnormal or not can be accurately detected, and users with abnormal t