Two-Stage Topology Identification for Radial Medium-Voltage Distribution Network with Voltage Magnitude-Only Measurements

Due to limited sensor deployment and measurement capabilities in medium-voltage (MV) distribution networks, voltage magnitude measurements are readily accessible and used to design single-stage topology identification methods, leading to low accuracy in topology identification without considering the inherent structural characteristics of power grid. To address this issue, this paper proposes a novel two-stage topology identification method for radial MV distribution network with voltage magnitude-only measurements. According to historical voltage magnitude measurements, the first stage establishes a linear regression model with an L1 norm penalty term, which is solved by using Lasso method to obtain the initially identified topological structure. To eliminate redundancy in the initial topology, the second stage proposes a novel neighbor set updating strategy and an improved OR rule for branch recovery based on the correlation coefficients and structural characteristics, achieving more accurate topology identification. Experimental results confirm the feasibility and effectiveness of the proposed method.