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TY - THES AU - Gaumnitz, Felix TI - Bewertung der betrieblichen Auswirkungen eines flexibilitätsmarktbasierten Netzengpassmanagements im Verteilnetz PB - Rheinisch-Westfälische Technische Hochschule Aachen VL - Dissertation CY - Aachen M1 - RWTH-2025-10654 SP - 1 Online-Ressource : Illustrationen PY - 2025 N1 - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2026 N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025 AB - 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. LB - PUB:(DE-HGF)11 DO - DOI:10.18154/RWTH-2025-10654 UR - https://publications.rwth-aachen.de/record/1023670 ER -