Detecting and Correcting Parameter Errors in Power Grids

This lecture covers the detection and correction of parameter errors in power grids, focusing on distinguishing between measurement and parameter errors, statistical properties of Lagrange multipliers and measurement residuals, error identification, computational bottlenecks, and sensitivity analysis. The instructor presents methods for error correction, computational efficiency improvements, undetectable cases, and the application of compensation in unsymmetrical power systems. The lecture also discusses the robust state estimation against measurement and network parameter errors, WLS and LAV estimators, and the extended LAV state estimation. Examples and test systems are used to illustrate parameter error detection and estimation results, detectability, and identifiability of parameter errors.