<?xml version="1.0"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Hybrid model of a local electricity and flexibility market in the distribution network</dc:title><dc:creator>Fournely,	Chloe Julie Caroline	(Avtor)
	</dc:creator><dc:creator>Gubina,	Andrej Ferdo	(Mentor)
	</dc:creator><dc:subject>Capacity allocation</dc:subject><dc:subject>Congestion management</dc:subject><dc:subject>Local market</dc:subject><dc:subject>Low-voltage network</dc:subject><dc:subject>Market clearing</dc:subject><dc:subject>Voltage control</dc:subject><dc:description>The integration of distributed energy resources (DERs) such as electric vehicles
poses an important risk to low-voltage networks, including voltage deviations,
and load congestion. Effective use of DER flexibility is essential to mitigate these
network issues.
This thesis proposes a novel hybrid market-based approach to voltage control
and congestion management which includes two components operating alongside:
a local capacity market and a local flexibility market. This hybrid market mechanism
enables active power trading between low-voltage network operator and
end-users, in the form of network capacity rights for the first market component
and binding flexibility services for the second component.
By coordinating the schedules of DERs prior to operation explicitly linking
them to network constraints, the local hybrid market has the potential to defer
network reinforcement, provide financial resources to the network operator
for reinforcing, and constrain wholesale energy bidding to respect local network
boundaries.
This thesis formulates the design specifications of such market, with a focus
on the efficiency of the market clearing algorithms. We explore four clearing
mechanisms for active power allocation, which go beyond traditional price-based
methods and aim to increase fairness among network users. We evaluate these
algorithms on a real low-voltage network model over a single day under varying
network constraints and priority rules. Our simulations demonstrate that clearing
algorithms incorporating power flow equations outperform the copperplate model
in effectively managing voltage and congestion. The number of load congestions
experienced in the different scenarios were highly reduced but not fully prevented, due to the simplification of the power flow equations. The rolling-priority market
mechanism proved to be the allocation which provided the highest fairness of
access to network capacity and maximised the line utilisation, while respecting
voltage limits.</dc:description><dc:date>2026</dc:date><dc:date>2026-05-14 13:20:02</dc:date><dc:type>Doktorsko delo/naloga</dc:type><dc:identifier>182517</dc:identifier><dc:identifier>VisID: 62237</dc:identifier><dc:language>sl</dc:language></metadata>
