Distribution Network State Estimation Based on Multi-source Data Fusion
ZHANG Shuo
DING Kun
XU Yunyan
Abstract：The heterogeneous data collected by various measuring equipment in the distribution network constitute the data source for state estimation.It is the first task to improve the accuracy of state estimation to fully fuse heterogeneous data from multi-ple sources.According to the installation of data measuring device in the distribution network and the characteristics of measured da-ta,a SCADA missing value filling algorithm based on LSTM is proposed,and the problems of time scale unification and weight dis-tribution in the process of hybrid measurement fusion are considered,so as to make full use of SCADA data and improve the accura-cy of hybrid measurement.It has a certain positive significance to improve the accuracy of distribution network state estimation.The IEEE-33 bus system is built to verify the feasibility of the proposed method.
Keywords：distribution networkmulti-source data fusionimproved LSTM algorithmstate estimation
Publication Date：2025-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 692-696 )