.png){kind=icon}
Return
Online state estimation based on forecasting-correction-refinement framework for active distribution systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.epsr.2026.114228.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A functionally decoupled forecasting-correction-refinement framework handles sudden power changes in DSSE.
• Fixed micro-PMUs enable rapid covariance-informed correction of unmeasured states.
• LLSE feedback preserves inter-state correlations and stabilizes recursive updating.
• WLS uses remaining heterogeneous measurements for final current-slot refinement.
• Mean voltage-magnitude and phase-angle RMSEs drop by 83.8% and 59.4% versus RLS-WLS.
Keywords:
Online state estimation
Active distribution systems
Forecasting-correction-refinement
Linear least squares estimation
Sudden power changes
Journal
IF:
4.2
Papers:
1.2W
Citations:
2.2W
Organization
No organization information available
Cited Papers
No cited papers available