Seagull Optimization Algorithm for Solving Economic Load Dispatch Problem

To solve the optimization problem of Economic Load Dispatch (ELD), a number of metaheuristic approaches have already been implemented, exhibiting substantial improvement over the conventional technique. Despite this, due to the global energy crisis, research in ELD still continues to garner considerable interest. In this study, the Seagull Optimization Algorithm (SOA), a recently developed swarm intelligence technique, is applied in ELD. As the SOA algorithm has never been utilized in the ELD, it is important to investigate its efficacy and validity in this domain. Here, two case studies of ELD incorporating 6 and 10 generator units are implemented employing SOA. What's more, the performance of SOA in ELD is compared with respect to three other previously applied metaheuristics algorithms. Results indicate that SOA is a potential algorithm capable of handling the practical optimization challenge of ELD problem more effectively, especially in large power plants having more than 6 units.