Reducing the cost of the hybrid system operation by Skill Optimization Algorithm

In the realm of energy networks, efficiently distributing the required load among all online generating units is crucial for meeting demand effectively. This is achieved through the Economic Load Dispatch Problem (ELD). ELD is problem of operating of thermal power plants; however, this operation can be opened by integrating renewable power plants, leading ELD problem turn into new one, called NELD problem. By employing various methods to solve ELD and NELD problems, we can create a strategic power distribution plan that optimally balances the output of online generating units. This study suggests three methods including Skill Optimization Algorithm (SOA), War Strategy Optimization Algorithm (WSO) and particle swarm optimization (PSO) to implement the optimal power distribution plan for these plants while minimizing the cost per unit of energy generated. Simulations are conducted to assess the effectiveness of the proposed algorithm in solving a variety of test systems, encompassing multiple load levels and diverse constraints. The results highlight the SOA's strong performance, demonstrating its potential to compete effectively with other advanced methods in the field.