Performance evaluation of distribution system state estimator using different measurement devices

Eggenschwiler, Loïc (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Favre-Perrod, Loïc (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Nauts, Olivier (Romande Energie SA, Switzerland) ; Rampazzo, Jérôme (Swiss Federal Office of Energy, Switzerland) ; A.-Mousavi, Omid (DEPsys SA, Switzerland)

State estimators, used to monitoring transmission networks, are not widely applied to distribution systems. Before 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 emulated by simulations. This paper introduces a tool to evaluate the performance of a state estimator, applied on a 102-node real LV network of the Swiss DSO Romande Energie, with 40 smarts meters and three GridEye monitoring devices, a new GPS synchronized high precision measurement device. The method consists in the comparison between 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 placements, 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.

Conference Type:
full paper
Ingénierie et Architecture
Energy - Institut de recherche appliquée en systèmes énergétiques
Madrid, Spain, 3-6 June 2019
Madrid, Spain
3-6 June 2019
5 p.
Published in:
Proceedings of the 25th International Conference on Electricity Distribution, 3-6 June 2019, Madrid, Spain
Numeration (vol. no.):
paper n° 1633
External resources:
Appears in Collection:

 Record created 2019-05-28, last modified 2020-06-11

Download fulltext

Rate this document:

Rate this document:
(Not yet reviewed)