State estimation accuracy enhancement for optimal power system steady state modes

Abstract

Abstract State estimation is an important tool for system operators, which determine the state of the system and accordingly act for control and operate the system. Ill conditioned system is a problem facing the state estimation algorithms, which results in numerical instability and inaccurate results of power system state estimation. This paper proposes a method to overcoming the ill-conditioned problem based on their linear correlations between the output parameters for obtaining optimal power systems steady state mode.