The solution of the economic dispatch problem via an efficient Teaching-Learning-Based Optimization method

This paper is concerned with the economic generation dispatch problem. It a well-known fact that practical aspects of power plant equipment, as well objectives to be met, may result in nonconvex, nondifferentiable model poses difficulties conventional mathematical programming methods. proposes use metaheuristic Teaching-Learning-Based Optimization overcome such difficulties. known for requiring few parameters and, most importantly, it does not require tuning problem-dependent parameters. The algorithm proposed this work parameter-free; is, required by method are set automatically based on system’s data. In addition, handling constraints, generators’ prohibited zones and generator-load-loss balance, performed very efficient way. Simulation results shown systems containing 3 40 units, provided discussed comparisons other metaheuristics technique.