Constrained optimization using evolutionary programming for dynamic economic dispatch

Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to operate an electric power system most economically while the system is operating within its security limits. This paper proposes a novel methodology for solving dynamic economic dispatch. Ten units test system with smooth and non-smooth fuel cost functions are considered to illustrate the suitability and effectiveness of the proposed method.