State estimation for medium and low voltage distribution grids based on near real-time grid measurements and delayed smart meters data

Rayati, Mohammad (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Pidancier, Thomas (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Carpita, Mauro (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Bozorg, Mokhtar (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland)

In this paper, first, a distribution system state estimation (DSSE) algorithm based on Distflow model is presented. The model is designed for radial low voltage (LV) distribution grids considering traversal components such as the cable capacitances. Next, to obtain the pseudo-measurements required for the DSSE algorithm, we developed and compared three intraday nodal load forecast (INLF) methods that take; i) near real-time stream of data from the grid measurement devices (MDs), i.e., voltage and current magnitudes at limited number of lines/nodes, and ii) the batch data set from smart meters (SMs) available for previous days. The accuracy associated with the INLF methods is quantified in terms of statistical characteristics such as average of symmetric mean absolute percentage error (sMAPE) over all nodes of the distribution grid. Afterwards, the impact of this accuracy on the DSSE results is investigated using real data available for a distribution grid in city of Geneva, Switzerland.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IESE - Institut d'Energie et Systèmes Electriques
Publisher:
Lyon, France, 7-11 September 2020
Date:
2020-09
Lyon, France
7-11 September 2020
Pagination:
10 p.
Published in:
Proceedings of 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), 7-11 September 2020, Lyon, France
DOI:
ISBN:
978-9-0758-1536-8
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-10-13, last modified 2020-10-27

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