计算机与数字工程2025，Vol.53Issue(3)：692-696,5.DOI:10.3969/j.issn.1672-9722.2025.03.014
基于多源数据融合的配网状态估计
Distribution Network State Estimation Based on Multi-source Data Fusion
摘要
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.关键词
配电网/多源数据融合/改进LSTM算法/状态估计Key words
distribution network/multi-source data fusion/improved LSTM algorithm/state estimation分类
大气科学引用本文复制引用
张铄,丁坤,徐昀艳..基于多源数据融合的配网状态估计[J].计算机与数字工程,2025,53(3):692-696,5.基金项目
国家自然科学基金项目(编号:62063016) （编号:62063016）
国网甘肃省电力公司科技项目(编号:SGGSLX00FCJS2200358)资助. （编号:SGGSLX00FCJS2200358）
