Comparative Study based Economic Load Dispatch in Power System using Different Metaheuristic Techniques

Economic Load Dispatch (ELD) involves minimizing thermally generated power costs within operational constraints. While linear programming traditionally addresses this, meta-heuristic algorithms like Particle Swarm Optimization (PSO), Magnetic Optimization Algorithm (MOA), and Chimp Optimization Algorithm (ChOA) show promise. This paper compares these algorithms in two case studies 3 units (coal-based, oil-based, and nuclear-based) and 6 units, evaluating their effectiveness in minimizing costs and maximizing power network load. Results highlight the efficiency of meta-heuristic approaches over traditional methods, emphasizing their potential in addressing complex engineering challenges in power systems.