1198. Integrated Wind Farm Design: Optimizing Turbine Placement and Cable Routing with Wake Effects
Invited abstract in session TC-44: Approaches for handling computational complexity, stream Energy Economics & Management.
Tuesday, 12:30-14:00Room: Newlyn 1.01
Authors (first author is the speaker)
| 1. | Jaap Pedersen
|
| Applied Algorithmic Intelligence Methods, Zuse Institute Berlin | |
| 2. | Niels Lindner
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| Optimization, Zuse Institute Berlin | |
| 3. | Daniel Rehfeldt
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| Mathematical Algorithmic Intelligence, Zuse Institut Berlin | |
| 4. | Thorsten Koch
|
| Applied Algorithmic Intelligence Methods, ZIB / TU Berlin |
Abstract
In this talk, we address the integrated wind farm layout and cable routing problem, a challenging nonlinear optimization problem. We present an exact solution framework for the novel Quota Steiner Tree problem with interference, optimizing turbine placement and network connectivity simultaneously while meeting expansion targets. Our proposed approach accounts for the wake effect - a region of reduced wind speed caused by each installed turbine - and enforces minimum spacing between turbines. By additionally introducing an interference-based splitting strategy, we show that the advanced solver is capable of tackling large-scale problem instances and outperforms generic state-of-the-art mixed integer programming solvers by up to two orders of magnitude.
Keywords
- OR in Energy
- Energy Policy and Planning
- Combinatorial Optimization
Status: accepted
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