Dynamic Economic Dispatch Using Particle Swarm Optimization

Abstract

The power utility needs to ensure that the electrical power is generated with minimum cost. Hence, for economic operation of the system, the total demand must be appropriately shared among the generating units with an objective to minimize the total generation cost for the system. Thus, Economic dispatch (ED) is one of the important problem of power system operation and control. Dynamic economic dispatch (DED) based on particle swarm optimization technique for the determination of the global or near global optimum dispatch solution including satisfied all the constraints. PSO has been successfully applied to various fields of power system optimization. It determines the optimal operation of units with load demands over a certain period of time with an objective to minimize total production cost. In this thesis, an attempt is made to solve an economic dispatch problem using PSO technique. A general PSO based dynamic economic dispatch algorithm has been developed which is tested for five generator unit and 12 hours operation. Further, the marginal limit of generation for each generator unit at define hour is also calculated.