| Hauptseite > Publikationsdatenbank > Large-Scale Offshore Transmission Network Expansion Planning using a Genetic Algorithm |
| Contribution to a conference proceedings | FZJ-2026-01437 |
; ;
2025
IEEE
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Please use a persistent id in citations: doi:10.1109/ISGTEurope64741.2025.11305495
Abstract: Integrating large-scale offshore wind energy into the electricity grid creates a complex transmission network expansion problem that cannot be solved efficiently within a reasonable timeframe using traditional exact methods. This paper introduces a meta-heuristic optimization approach to large-scale transmission system planning applied to a case study of the Baltic Area. Operational dispatch costs, offshore transmission line costs and onshore reinforcement costs are jointly considered and a high-level transmission system topology for the system connection of pre-defined offshore energy hubs is derived. In the assessed scenario, the implemented heuristic achieves an 11% reduction in system cost compared to a benchmark grid solution based on purely topological assumptions. Although the heuristic approach is sensitive to cost parametrization and susceptible to convergence in local optima, its computational efficiency and adaptability make it a valuable tool for scenario-based analysis in large-scale transmission network expansion planning.
Keyword(s): Energy (1st)
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