Multi-objective Wind Farm Layout Optimization with Multiple Turbine Types, 2025

Supervisors: Jakub W. Both, Rolf Johan Lorentzen, Andreas Størksen Stordal

Short description of the project:

Wind farms must balance cost with energy yield, yet layout choices interact through wakes, cabling, site constraints and other factors, making wind farm layout design a difficult multi-objective problem. This thesis develops an optimization method for onshore wind farm layout design that jointly treats continuous turbine locations, turbine type selection, and turbine count, targeting two objectives: minimize total project cost and maximize annual energy production. An NSGA-II framework with feasibility-aware mutation and crossover operators, lightweight energy and cost models and layered convergence criteria are implemented. Results are high-quality approximations of the Pareto front. Overall, the method scales to realistic layouts and produces stable fronts in reasonable time. The main deliverable is an open-source, end-to-end implementation tailored to mixed-type layout design.