Bad data analysis in distribution state estimation considering load models

This paper presents a study of bad data analysis in distribution state estimation considering pseudo-measurements given by load models. The bad data analysis is performed using the residual analysis, based on chi-square and normalized residual tests, and the geometrical approach, based on the use of composed measurement error and composed normalized error. This is the first work that assesses the geometrical analysis for distribution systems. A numerical study is conducted considering a 69-bus distribution system with advanced metering infrastructure. The results show a potential improvement using the geometrical analysis.