EURO 2024 Copenhagen
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3866. Evaluating the Economic Feasibility of Systematic Power Line Overloading in the German Electricity Transmission Grid Applying Chance-Constrained Programming

Invited abstract in session MD-9: Uncertainties in the Energy Transition, stream Energy Markets.

Monday, 14:30-16:00
Room: 10 (building: 116)

Authors (first author is the speaker)

1. Hannes Hobbie
Chair of Energy Economics, TU Dresden
2. Lisa Lorenz
Chair of Energy Economics, TU Dresden
3. Miguel Anjos
School of Mathematics, University of Edinburgh
4. Dominik Möst
Chair of Energy Economics, Technische Universität Dresden

Abstract

Decarbonising the German energy system entails gradually substituting carbon-intensive power plants with renewable-based technologies. The need to integrate sizeable renewable quantities into the German electricity system affects the operation of future transmission grids. Impacts also include an increasing congestion management requirement and associated costs.
Managing grid congestion involves adjusting the market-based dispatch of single generators subject to grid constraints to find the least-cost system equilibrium. Grid constraints comprise rated thermal power flow capacities limiting electricity transmission. However, line capacities, to some extent, are subject to uncertainty. Increasing the line capacity is frequently practised by TSOs within certain boundary conditions, commonly called dynamic line rating. This gives operators greater flexibility, and indicates the importance of determining efficient capacity values.
In this research, we propose to apply chance-constrained programming to investigate the economic feasibility of systematic power line overloading in the German transmission grid, utilising joint chance constraints to model probabilistic flow restrictions. Expected results will indicate its economic value and effects on congestion management cost depending on the probability level assumed. Outcomes also comprise line-specific information on realised single and simultaneous overload events across the time and lines providing TSOs with decision support.

Keywords

Status: accepted


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