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Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS

Master's thesis and Internship : Grid Impact of Photovoltaic and Wind Integration in an Energy Community: A Network Model and Hosting Capacity Study of the Liège Science Park

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Werbrouck, Alexis ULiège
Promotor(s) : Cornélusse, Bertrand ULiège
Date of defense : 29-Jun-2026/30-Jun-2026 • Permalink : http://hdl.handle.net/2268.2/26141
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Title : Master's thesis and Internship : Grid Impact of Photovoltaic and Wind Integration in an Energy Community: A Network Model and Hosting Capacity Study of the Liège Science Park
Translated title : [fr] Impact de l’intégration du photovoltaïque et de l’éolien sur le réseau électrique au sein d’une communauté d’énergie : modélisation du réseau et étude de la capacité d’accueil du Liège Science Park
Author : Werbrouck, Alexis ULiège
Date of defense  : 29-Jun-2026/30-Jun-2026
Advisor(s) : Cornélusse, Bertrand ULiège
Committee's member(s) : Stegen, Thomas ULiège
Hault, Olivier 
Language : English
Keywords : [en] energy community
[en] distribution network
[en] photovoltaics
[en] power flow simulation
[en] hosting capacity
[en] synthetic load profiles
Discipline(s) : Engineering, computing & technology > Energy
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil en génie de l'énergie à finalité spécialisée en Energy Networks
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] Energy communities allow their members to share locally produced
electricity through the public distribution network. As their generation
portfolio grows, the network that carries the shared energy faces operating
conditions it was not designed for, such as reverse power flows, voltage
rise and thermal loading. This thesis quantifies these impacts for the
energy community of the Liège Science Park, a research and industrial park
near Liège (Belgium) that operates as a citizen energy community under the
Walloon framework.

Since neither metered data nor official network plans are available, the
study is built from public data and documented assumptions.
Quarter-hourly synthetic consumption profiles are generated for the 51
occupants from building geometry and energy benchmarks, and PV production
profiles are derived from satellite irradiance data for the current
installations and for a scenario covering 90\,\% of the eligible roofs.
The medium- and low-voltage network is reconstructed from a field survey
into a 75-bus model, and each scenario is simulated over a full year at
15-minute resolution by AC power flow.

The network absorbs a five-fold increase of rooftop PV, from 5.2\,\% to
25.6\,\% of the annual demand, without any EN~50160 violation or overload;
the community self-sufficiency reaches 23.3\,\% and the network losses
decrease by about 12\,\%. Adding a 3~MW wind turbine and a 5~MWp solar
farm doubles the self-sufficiency to 46\,\%, provided the units are
connected through the existing dedicated feeder; a shorter tie-in into the
main feeder causes a few hours of overload per year. The binding
constraints are thermal rather than voltage-related, and the 20~MVA
primary substation is the structural ceiling of the community, at
13--14.5~MWp of equivalent generation capacity.


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Author

  • Werbrouck, Alexis ULiège Université de Liège > Mast. ing. civ. gén. énerg. fin. spéc. Net.

Promotor(s)

Committee's member(s)

  • Stegen, Thomas ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart-Microgrids
    ORBi View his publications on ORBi
  • Hault, Olivier








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