Handling Corrupted Measurements

This chapter is devoted to evincing the negative impact that corrupted measurements can produce in power system state estimation (SE) and how to deal with it. Statistical tests performed on the weighted least squares (WLS) objective function and estimation residuals are presented. Maximum likelihood-type estimators, those capable of resisting the influence of outliers, are also addressed. The optimized measurement placement problem regarding both observability/criticality analysis is formulated. The simulation of gross error measurements and how to handle them are illustrated in several examples. Advanced topics indicate that forecasting-aided state estimation (FASE) and phasor-aided state estimation (PHASE) approaches are pointed out to facilitate BD processing. Also, the SE vulnerability to cyberattacks is commented on. Problems are proposed at the end of the chapter.