The Impact of Model and Measurement Uncertainties on a State Estimation in Three-Phase Distribution Networks

In this paper we investigate the impact of model and measurement uncertainties on the state-estimation results for different estimators, and different measurement configurations in a three-phase distribution network. To obtain all the sensitivities of interest, the approach with a perturbation of the Karush-Kuhn-Tucker conditions was implemented. We express the sensitivities obtained in terms of uncertainty intervals rather than just partial derivatives. We also propose an upper error bound on the interval analysis. The presented approach has been used in a real-world scenario within the SUNSEED FP7 project to design the measurement configuration for a targeted state-estimation system's accuracy.