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Open AccessArticle

Distribution Network Model Platform: A First Case Study

1
European Commission, Joint Research Centre (JRC), Directorate of Energy, Transport and Climate, Energy Security, Distribution and Markets Unit, via E. Fermi 2749, I-21027 Ispra (VA), Italy
2
Faculty of Electrical Engineering and Computing, University of Zagreb, 10 000 Zagreb, Croatia
3
Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
Energies 2019, 12(21), 4079; https://doi.org/10.3390/en12214079
Received: 18 September 2019 / Revised: 23 October 2019 / Accepted: 24 October 2019 / Published: 25 October 2019
(This article belongs to the Section Electrical Power and Energy System)
Decarbonisation policies have recently seen an uncontrolled increase in local electricity production from renewable energy sources (RES) at distribution level. As a consequence, bidirectional power flows might cause high voltage/ medium voltage (HV/MV) transformers to overload. Additionally, not-well-planned installation of electric vehicle (EV) charging stations could provoke voltage deviations and cables overloading during peak times. To ensure secure and reliable distribution network operations, technology integration requires careful analysis which is based on realistic distribution grid models (DGM). Currently, however, only not geo-referenced synthetic grids are available inliterature. This fact unfortunately represents a big limitation. In order to overcome this knowledge gap, we developed a distribution network model (DiNeMo) web-platform aiming at reproducing the DGM of a given area of interest. DiNeMo is based on metrics and indicators collected from 99 unbundled distribution system operators (DSOs) in Europe. In this work we firstly perform a validation exercise on two DGMs of the city of Varaždin in Croatia. To this aim, a set of indicators from the DGMs and from the real networks are compared. The DGMs are later used for a power flow analysis which focuses on voltage fluctuations, line losses, and lines loading considering different levels of EV charging stations penetration. View Full-Text
Keywords: distribution network models; DSO; data validation; electric vehicles; power flow simulation; voltage fluctuations distribution network models; DSO; data validation; electric vehicles; power flow simulation; voltage fluctuations
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Grzanic, M.; Flammini, M.G.; Prettico, G. Distribution Network Model Platform: A First Case Study. Energies 2019, 12, 4079.

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