Abstract
This paper presents an optimization framework for enhancing power generation in ocean current turbine (OCT) farms by arranging turbines within a defined spatial area. The turbines are anchored to the ocean floor and dynamically positioned to capture maximum energy from ocean currents. The optimization process accounts for turbine wake interactions, which can reduce efficiency if not properly managed. A Particle Swarm Optimization (PSO) algorithm is used to determine the turbine layout that maximizes the farm’s average power output within the constrained domain. By integrating a wake model into the optimization loop, the framework significantly improves the farm’s average power output, yielding power gains of 41–63% across arrays of 9, 16, and 25 turbines. This approach offers a fast and reliable solution for maximizing energy production, providing valuable insights into optimal turbine density and placement for future OCT farm designs.