Multi-Mode Wave Energy Converter Design Optimisation Using an Improved Moth Flame Optimisation Algorithm

Ocean renewable wave power is one of the more encouraging inexhaustible energy sources, with potential to be exploited for nearly 337 GW worldwide. However, compared other sources renewables, technologies have not been fully developed, and produced price as competitive that wind or solar technologies. In order commercialise ocean technologies, a wide range optimisation methodologies proposed in last decade. evaluations comparisons performance state-of-the-art bio-inspired algorithms contemplated converters’ optimisation. this work, we conduct comprehensive investigation, evaluation comparison geometry, tether angles take-off (PTO) settings converter (WEC) using swarm-evolutionary based on sample regime at site Mediterranean Sea, west Sicily, Italy. An improved version recent algorithm, called Moth–Flame Optimiser (MFO), also application area. The results demonstrated MFO can outperform methods maximising total harnessed from WEC.