Multi-Time Interval Forecasting-Aided State Estimation Incorporating Phasor Measurements for Power Systems with Renewable Energy Sources  

作　　者：Ye Guo Yifei Xu Hongbin Sun Boming Zhang 

机构地区：[1]Tsinghua-Berkeley Shenzhen Institute(TBSI),Tsinghua Shenzhen International Graduate School Tsinghua University,Shenzhen 518055,China [2]Department of Electrical Engineering,State Key Laboratory of Power Systems,Tsinghua University,Beijing,100084,China

出　　处：《CSEE Journal of Power and Energy Systems》2025年第1期115-123,共9页中国电机工程学会电力与能源系统学报(英文)

基　　金：supported in part by the National Natural Science Foundation of China(No.51977115).

摘　　要：To achieve more precise monitoring of state fluctuations in the power network close to renewable energy sources, it is necessary to utilize phasor measurements and shorten the time interval between state estimations. For large-scale power systems, however, estimating all of their states with shorter time intervals means a drastic increase in computational burden. As a tradeoff between accuracy and computational efficiency, a multi-time interval forecasting-aided state estimation approach is proposed in this paper, where states with various degrees of fluctuations are estimated asynchronously with different time intervals. Based on the newest state estimate, forecasting-aided state estimators are employed to predict states at time moments prior to the next round of measurement update and state estimation. Extensive numerical tests have demonstrated the effectiveness of the proposed approach.

关 键 词：Forecasting-aided state estimation phasor measurement renewable energy sources state estimation time interval 

分 类 号：TM73[电气工程—电力系统及自动化]