A Model-driven Approach to the Identification of Distribution Network Line Parameters

Abstract

As for the line parameters of distribution network, they are often affected by the aging of the line and the change of the surrounding environment, which makes it difficult or not timely to obtain. Therefore, this paper proposes a model driven topology identification method of distribution network. Firstly, the coarse node admittance matrix is obtained by inverse solving the power flow equation by linear regression method, and modified by the known conditions. Finally, through the second stage of the correction to complete the distribution network line parameters identification. This method is not only applicable to radiate networks, but also to ring networks. The effectiveness of the proposed method is verified by the simulation of IEEE33 node distribution system.