PERFORMANCE EVALUATION OF DISTRIBUTION SYSTEM STATE ESTIMATOR USING DIFFERENT MEASUREMENT DEVICES

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CIRED 2019 - 1633.pdf (633.38 KB)

Paper number

1633

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Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Eggenschwiler, Loïc, University of Applied Sciences and Arts Western Switzerland, Switzerland
Favre-Perrod, Patrick, University of Applied Sciences and Arts Western Switzerland, Switzerland
Nauts, Olivier, Romande Energie SA, Switzerland
A.-Mousavi, Omid, DEPsys SA, Switzerland
Rampazzo, Jérôme, Swiss Federal Office of Energy, Switzerland

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.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/497
http://dx.doi.org/10.34890/721

ISSN

2032-9644

ISBN

978-2-9602415-0-1