Application of the Coot Optimization Algorithm for Optimal Power Flow Solution

Coot bird metaheuristic optimizer (CBMO) is a cutting-edge optimizing approach that derives inspiration from the behaviors and movements of a swarm of birds called Coot on surface of water. The Coot optimization algorithm serves as the key approach in this study, demonstrating remarkable efficacy in tackling the optimal power flow (OPF) problem. The effectiveness of the suggested COOT for OPF has been demonstrated by testing it on a standard IEEE 30-bus test network. The primary contribution lies in efficiently utilizing the superior searching capabilities of the Coot technique for an effective OPF solution. The considered objectives of the OPF consist of three independent functions: minimizing the expense related to fuel consumption by the generator, minimizing the cost of emissions, and minimizing the real power loss. The achieved OPF outcomes for various cases using the COOT technique are compared with previously reported studies utilizing popular stochastic optimization algorithms. The comparative analysis shows that the proposed method generates optimum, feasible, and global solutions with rapid convergence, therefore, confirming the competency of the COOT technique in contrast to other algorithms in proficiently solving the OPF problems in modern power systems.