Application of Swarm Algorithms for Solving Dynamic Economic Load

Dynamic economic load dispatch is one of the most important roles of power generation’s operation and control. It determines the optimal controls of production of generator units with predicted load demand over a certain period of time. Economic dispatch a subjects in the power network’s operation, which is a complicated nonlinear constrained optimization problem. Since dynamic economic load dispatch was introduced, several intelligent methods have been paper, an Improved Particle Swarm Optimizer (IPSO) and Water Cycle optimizer (WCO), as swarm-based optimization algorithms, have been proposed to solve dynamic economic load dispatch problem and their results compare wit These algorithms are applied to a dynamic economic dispatch problem for power systems with a the research is categorized in two parts; first of all, introduction of applicat new heuristic method for solving economic load dispatch problem and second, comparison between two swarm is very fast and also reach to better results and minimum.