A Study on the State Estimation of HMI platform for Substation Automation System

摘要

The validity of measured data is a critical factor for the power system automation. Measured values may have errors that are caused by communication errors and malfunctioning measuring devices. The accuracy and reliability of measured values at the substation is a significant condition for robust and fault tolerant automata. Though errors should be reduced by the state estimation, the global reliability of state estimation will decrease when there exist some bad data. In this paper, the least square state estimation and bad sensor detection algorithm based on the chi-square theory are proposed and applied to the Korean 154 kV distribution substations.