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@PHDTHESIS{Gaumnitz:1023670,
author = {Gaumnitz, Felix},
othercontributors = {Ulbig, Andreas and Goebel, Christoph},
title = {{B}ewertung der betrieblichen {A}uswirkungen eines
flexibilitätsmarktbasierten {N}etzengpassmanagements im
{V}erteilnetz},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-10654},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2026; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2025},
abstract = {The ongoing energy transition is leading to structural
changes within the electrical distribution grids. With the
anticipated increase in photovoltaic systems, electric
vehicles, heat pumps, and battery storage systems,
distribution grid operators must expect their grids to be
subject to increasing operational stress. In addition to
long-term grid development, grid operators must resolve an
increasing number of grid congestion in the operational
short-term as part of grid congestion management. The
additional connected decentralized energy resources offer
operational flexibility potentials that can be used to
resolve grid congestion issues. Unlocking these potentials
is the subject of ongoing discussions. An alternative to the
regulatory exploitation of decentralized flexibility
potentials for grid congestion management is the use of
market-based approaches within the framework of a local
flexibility market. On such a local market platform, the
flexibility of decentralized units can be offered
voluntarily and based on bids, which are then used by the
grid operator to resolve congestion. When considering
flexibility market-based grid congestion management, the
interactions between the actors in the flexibility market
are particularly important, so that the supply and demand
sides of the market must be considered jointly. The aim of
this work was therefore, to assess the operational impact of
flexibility market-based grid congestion management for
flexibility providers and grid operators. As part of the
work, models for determining marketing and operational
decisions are developed. A distinction is made between
passively marketed units and units actively marketed by an
aggregator. In passive marketing, decentralized plants are
used exclusively to cover their demand or to optimize
self-consumption. Aggregators that market the units at a
grid node have access to the wholesale energy markets and
the flexibility market and operate with the aim of
maximizing contribution margins. To determine the optimal
quantity bids on the markets, an optimization model is
developed, which takes into account, among other things, the
technical constraints of units and the anticipated revenue
opportunities. To estimate the demand for grid-supportive
flexibility, distribution grid operation is simulated and
grid congestion management measures are determined. For this
purpose, current and voltage-related congestion is
identified and linear sensitivity factors are derived.
Subsequently, an optimization method is used to determine
the optimal flexibility usage for resolving the congestion.
The developed method is applied to a medium-voltage grid
section with subordinate low-voltage grids for a future
scenario. Congestion at the medium-voltage level is resolved
with the help of flexibility from the same and subordinate
grid levels. Access to the flexibility market is varied in
different scenarios so that smaller, decentralized units can
also access the flexibility market. It can be seen that
lowering the barriers to market entry leads to a sharp
increase in the volume of flexibility offered and that
flexibility is provided from a wide range of different
units. In the grid section examined, the existence of a
flexibility market does not lead to any significant change
in grid load, which is characterized in particular by high
generation surpluses due to the existing photovoltaic
systems. The grid congestion management measures to
eliminate the congestion that occurs are characterized by
the flexibility usage from different technologies. It also
shows that the provision of flexibility must be tailored to
demand in terms of location, time, and direction, and that
in certain situations a flexibility deficit can occur.},
cin = {614010},
ddc = {621.3},
cid = {$I:(DE-82)614010_20200506$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-10654},
url = {https://publications.rwth-aachen.de/record/1023670},
}
Gast ::