PERFORMANCE EVALUATION OF DISTRIBUTION SYSTEM STATE ESTIMATOR USING DIFFERENT MEASUREMENT DEVICES

Abstract

State estimators, used to monitoring transmission net-works, are not widely applied to distribution systems. Be-fore deploying such a system, DSOs want to evaluate its performances in field conditions. In this paper, different uncertainty sources are considered. Device measurement error is modelled by a normal distribution function, and measurement delays or loss of communication are emu-lated by simulations. This paper introduces a tool to eval-uate the performance of a state estimator, applied on a 102-node real LV network of the Swiss DSO Romande En-ergie, with 40 smarts meters and three GridEye monitor-ing devices, a new GPS synchronized high precision meas-urement device. The method consists in the comparison be-tween load flow calculations and an estimator using a weighted least squares formulation. Uncertainties are added to the load flow results and a selection of them are considered as measurements. Thereby, the performance is evaluated for different simulation cases: meters place-ments, GridEye cells placements and different datasets for each measurement device can be selected. The simulations are based on several snapshots representing different times of the day.