Research on Topology Dynamic Perception and Line Parameter Identification of Distribution Network

Abstract The absence of network topology and line parameter information data affects the condition monitoring, analysis and control of active distribution networks. In order to solve this problem, this paper proposes a method to identify the topology and line parameters of distribution network using the measured values obtained by intelligent meters and phasor measurement units. The initial model of topology and line parameter identification based on linear regression is solved by orthogonal triangular decomposition to obtain the initial values of topology and line, and the improved Newton Raphson (NR) is used to accurately identify the network topology and parameters. The proposed method is validated on IEEE 33 bus test system.