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2990. Analyzing decomposition approaches for large-scale energy system models
Invited abstract in session TD-19: Decomposition techniques applied to energy problems, stream OR in Energy.
Tuesday, 14:30-16:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Lene Marie Grübler
|
| Department of Strategic Grid Planning / Chair of Energy Economics, 50Hertz Transmission GmbH / BTU Cottbus-Senftenberg | |
| 2. | Felix Muesgens
|
| Chair of Energy Economics, BTU Cottbus-Senftenberg |
Abstract
The share of renewable energy generation capacities will rise substantially in the upcoming decades, which requires the expansion of power grids and storage solutions. Current research therefore often aims at jointly optimizing expansion and operation of generators, storages and grid infrastructure, resulting in complex optimization problems to be solved. Their structure reveals decomposability on the temporal as well as on the spatial scale, which allows the application of decomposition techniques to keep them computationally tractable. While investment decisions spanning over multiple time steps represent complicating variables on the temporal scale, constraints describing inter-regional power exchanges represent complicating constraints on the spatial scale. Previous decomposition approaches in energy system modelling have either been performed on the temporal or on the spatial scale, but combined approaches have not yet been investigated. As energy system models hold complicating variables and constraints, there exist numerous possible decompositions of the original problem, which may be solved by different decomposition techniques. In this work we analyze which techniques are most efficient in optimizing large-scale multi-regional energy systems. We deliver a case study for the comparison of different decomposition strategies for a specific problem type and contribute to the open question of which decompositions are most suitable for which type of optimization problems.
Keywords
- OR in Energy
- Energy Policy and Planning
- Network Design
Status: accepted
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