全球能源互联网（英文）2022，Vol.5Issue(6)：666-674,9.DOI:10.1016/j.gloei.2022.12.008
基于BP-LMS的北斗三号电力系统定位方法
BP-LMS-based BDS-3 power system positioning method
摘要
Abstract
The BeiDou-3 navigation satellite system (BDS-3) provides a full-domain high-precision positioning service for the power system to ensure safe and stable operation. However, BDS-3 power system positioning faces certain challenges, such as complex electromagnetic interference and incomplete error elimination. Herein, a back propagation neural network-improved least mean square (BP-LMS) adaptive filtering method is proposed for the BDS-3 full-domain and high-precision power system positioning, which utilizes the loss function to update the weight of the BP hidden layer, computes the pseudo compensation range, and eliminates the impact of electromagnetic interference to enhance the accuracy of power system positioning. Simulation results confirm the superior performance of BP-LMS in positioning accuracy and error elimination. Compared with LMS and normalized least mean square (NLMS), the filtering error of the proposed BP-LMS adaptive filtering method is decreased by 57.14％ and 51.38％, respectively.关键词
BDS-3/BP-LMS/错误消除/全域高精度定位/电力系统Key words
BDS-3/BP-LMS/Error elimination/Full-domain and high-precision positioning/Power system引用本文复制引用
赵瑞锋,卢建刚,郭文鑫,郑文杰,李世明..基于BP-LMS的北斗三号电力系统定位方法[J].全球能源互联网（英文）,2022,5(6):666-674,9.基金项目
This work was supported by the Science and Technology Project of the China Southern Power Grid Company Limited under Grant Number(GDKJXM20202001). （GDKJXM20202001）
