In MATLAB, Economic Load Dispatch (ELD) can be efficiently implemented using Particle Swarm Optimization (PSO) techniques. The objective of ELD is to allocate the power generation among different units in a power system to meet the demand while minimizing the total generation cost. PSO, a metaheuristic optimization algorithm inspired by the social behavior of bird flocking or fish schooling, iteratively adjusts the generation levels of each unit to converge towards the optimal solution. By formulating the ELD problem as an optimization task, where the objective is to minimize the total cost while satisfying the load demand and system constraints, PSO searches for the optimal generation schedule by updating the positions of particles in the solution space. MATLAB provides powerful optimization tools and PSO algorithms that enable engineers to efficiently solve complex ELD problems, ensuring cost-effective and reliable operation of power systems while considering factors such as fuel costs, generation limits, and transmission constraints. Through MATLAB's capabilities, engineers can fine-tune the PSO parameters and incorporate additional constraints to address practical challenges, thus facilitating the design and implementation of efficient and sustainable power dispatch strategies.