Synchrophasor-based Online State Estimated in Large-scale Power Grid  

作　　者：Junjie Lin Chao Lu Wenchao Song Yingduo Han Yinsheng Su He Huang Licheng Li 

机构地区：[1]the College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,China [2]the Department of Electrical Engineering,Tsinghua University,Beijing,China [3]the State Key Lab of Power systems,Department of Electrical Engineering,Tsinghua University,Beijing,China [4]China Southern Power Grid,Guangzhou,China

出　　处：《CSEE Journal of Power and Energy Systems》2023年第5期1613-1622,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported by the National Natural Science Foundation of China(U1766214,U2066601).

摘　　要：With integration of a larger amount of clean power sources and power electronic equipment,operation and dynamic characteristics of the power grid are becoming more and more complicated and stochastic.Therefore,it is necessary and urgent to obtain accurate real-time states,which is difficult from traditional state estimation.This paper systematically develops a phasor measurement unit(PMU)based real-time state estimator for a realistic large-scale power grid for the first time.The estimator mainly relies on three refined algorithms,i.e.,an improved linear state estimation algorithm,a practical bad data identification method and a distributed topology check technique.Furthermore,a novel system architecture is designed and implemented for the China Southern Power Grid.Numerical simulations and extensive field operation results of the state estimator recorded under both normal and abnormal situations are presented.All the tests and field results demonstrate the advantages of the proposed algorithms in terms of online system monitoring and feasibility of refreshing the states of the whole system at intervals of tens of milliseconds.

关 键 词：PMU-based state estimation design and implementation bad data identification topology analysis 

分 类 号：TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]