Duman, SerhatWu, LeiLi, Jie2021-12-012021-12-012020978-3-030-36178-5; 978-3-030-36177-82367-4512https://doi.org/10.1007/978-3-030-36178-5_72https://hdl.handle.net/20.500.12684/10721International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYIn the last decades, optimal power flow (OPF) problem is becoming one of the most important nonlinear and non-convex problems for the planning and operation of large-scale modern electrical power grids. In this study, the OPF problem with the consideration of two types of renewable energy sources (RES), tidal and wind energy, is studied. The Gumbel PDF is used to calculate power output of tidal energy. The proposed OPF problem is solved by Moth Swarm Algorithm (MSA), and tested on an IEEE 30-bus test system via two different cases with and without the consideration of prohibited operating zones. The simulation results show the effectiveness of the MSA based OPF approach.en10.1007/978-3-030-36178-5_72info:eu-repo/semantics/closedAccessMoth Swarm AlgorithmOptimizationOptimal power flowModern power systemsWind-tidal energyOptimal Power-FlowSecurityBarrageMoth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal EnergyConference Object438308432-s2.0-85083423668WOS:000678771000072Q3N/A