Avoiding Divergence of State Estimators in Large Power Grids

This lecture by Prof. Ali Abur from Northeastern University discusses the challenge of avoiding complete divergence of state estimators in large power grids. The presentation covers the state estimation problem, previous work on convergence, leveraging earlier work on multi-area state estimation, and the use of recursive partitioning to address divergent cases. The lecture also explains the concept of two-level state estimation and the practical tool provided by repeated multi-area state estimation using recursive partitioning. The presentation concludes with a summary of the developed software tested on IEEE test systems and actual utility system cases.