A Novel Cohesive Swarm Intelligence Bat Optimization (CSIBO) Algorithm for Handling an Economic Load Dispatch Problems in Energy Systems

The paper develops a novel Cohesive Swarm Intelligence Bat Optimization (CSIBO) technique for handling an Economic Load Dispatch (ELD) problem in power systems. This article examines and analyses a variety of power generators, including fuel cells, wind turbines, and solar photovoltaic (PV). This work's original contribution is an efficient optimization of the power generators' cost function with a reduced time required for processing, total number of iterations, and speed of convergence. Here, the objective function is computed based on cost for all RES power generation system with the use of CSIBO algorithm. In addition, an equality and in equality constraints are considered in this work for minimizing the total dispatch cost. The performance and simulation findings of the proposed CSIBO-based ELD model are assessed and contrasted using a range of factors. Lastly, the aggregate findings show that the suggested CSIBO performs better than alternative methods, yielding better outcomes for every RES.