Estimating network topology and hosting capacity: a multi-level approach

The widespread adoption of electric vehicles (EVs) and photovoltaic (PV) systems, driven by global governmental incentives, is posing significant challenges for distribution system operators (DSOs). To maintain power quality, DSOs must estimate the Hosting Capacity (HC) of their networks for these technologies and strategically plan future investments. However, this task is particularly complex due to the uncertainties involved, as well as the limited availability and quality of data at the distribution level. To address this challenge, this paper introduces an overview of a three-level architecture developed for low voltage (LV) distribution networks. The architecture estimates network topology, constructs an equivalent circuit, and calculates HC using limited static data, thereby enabling optimized investment planning and efficient network management.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2200
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Estimating network topology and hosting capacity: a multi-level approach

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IET conference proceedings.
Complex Network Analysis Techniques
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Estimating network topology and hosting capacity: a multi-level approach

Alireza Bahmanyar, Simon Gérard, Thomas Wehenkel, Adrien Leerschool, Laurine Duchesne, Damien Ernst, Adrien Godfraind, Manon Cornet, Loïc Perot
article en

Abstract

The widespread adoption of electric vehicles (EVs) and photovoltaic (PV) systems, driven by global governmental incentives, is posing significant challenges for distribution system operators (DSOs). To maintain power quality, DSOs must estimate the Hosting Capacity (HC) of their networks for these technologies and strategically plan future investments. However, this task is particularly complex due to the uncertainties involved, as well as the limited availability and quality of data at the distribution level. To address this challenge, this paper introduces an overview of a three-level architecture developed for low voltage (LV) distribution networks. The architecture estimates network topology, constructs an equivalent circuit, and calculates HC using limited static data, thereby enabling optimized investment planning and efficient network management.

IET conference proceedings.Vol. 2025(14)
University of Liège (BE), École Supérieure des Arts Saint-Luc de Liège (BE), Centre Hospitalier Interrégional Edith Cavell (BE)
Openalex Percentile: Top 77%
Complex Network Analysis Techniques
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