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Distribution Network Model Platform: A First Case Study

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  • Mirna Grzanic

    (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
    Faculty of Electrical Engineering and Computing, University of Zagreb, 10 000 Zagreb, Croatia)

  • Marco Giacomo Flammini

    (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
    Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Giuseppe Prettico

    (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)

Abstract

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.

Suggested Citation

  • Mirna Grzanic & Marco Giacomo Flammini & Giuseppe Prettico, 2019. "Distribution Network Model Platform: A First Case Study," Energies, MDPI, vol. 12(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4079-:d:280435
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    References listed on IDEAS

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    1. Yang, Jun & He, Lifu & Fu, Siyao, 2014. "An improved PSO-based charging strategy of electric vehicles in electrical distribution grid," Applied Energy, Elsevier, vol. 128(C), pages 82-92.
    2. Adam B. Birchfield & Eran Schweitzer & Mir Hadi Athari & Ti Xu & Thomas J. Overbye & Anna Scaglione & Zhifang Wang, 2017. "A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids," Energies, MDPI, vol. 10(8), pages 1-14, August.
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    Cited by:

    1. Duško Bekut & Goran Švenda & Sonja Kanjuh & Verica Koturević, 2024. "Generalized Distribution Network Data-Gathering Procedure for ADMS Deployment," Energies, MDPI, vol. 17(23), pages 1-20, November.

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