Economic Load Dispatch (ELD) optimization using the Bat Algorithm (BAT) involves a metaheuristic optimization technique inspired by the echolocation behavior of bats. In MATLAB, this process entails formulating the ELD problem, which aims to minimize the total generation cost while meeting the power demand and satisfying system constraints, as an optimization task. The BAT algorithm iteratively updates the positions of virtual bats in the search space to converge towards the optimal solution. Engineers can implement BAT in MATLAB by defining objective functions that represent the total generation cost and constraints such as power balance and generator limits. By fine-tuning BAT parameters and incorporating practical considerations, such as transmission constraints and ramp rate limits, engineers can design efficient and cost-effective power dispatch strategies for complex power systems. MATLAB's optimization capabilities and BAT algorithm implementation provide a versatile platform for addressing ELD challenges and improving the economic operation of power grids.