Multimodal Algorithm for Minimization of Costs in Offshore Wind Farm Collection System

To address the imperative of lowering energy generation costs in offshore wind farms, advanced optimization technologies are crucial. This study present multimodal method in optimizing the cabling cost. By leveraging the nature of species formation in multimodal algorithms, the proposed Nearest Better Neighbor Clustering–Particle Swarm Optimization (NBNC–PSO) method yields a number of feasible solutions. The proposed method calculates and optimize cable-related costs (investment, energy loss, and construction), cable selection, connections, and substation locations. This enhances the adaptability of offshore wind farm designs with algorithm parameter. The proposed modality reduces the total costs by 14.42%, and further adjustment in the parameter of algorithm results in 15.6% reduction in costs.