Authors : P. Subburaj , L. Ganesan , K. Ramar and M. Rajkumar
Abstract: Economic Load Dispatch (ELD) is one of the main functions of modern Energy Management System (EMS), which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost. In all practical cases, the fuel cost of generators can be represented as a quadratic function of real power generation. In fact, discontinuity may also be observed in thermal power plants due to valve point loading. The conventional optimization methods require the objective functions in continuous differentiable form, therefore they fail to provide global minima. The Evolutionary Computation (EC) methods can handle non-differentiable and non-convex objective functions and give global or near global optimum solutions. Evolutionary Computation methods such as Genetic Algorithm (GA), Evolutionary Programming (EP) are applied to economic dispatch problem. By avoiding the coding and decoding process of transformations in GA, use of EP among other EC methods resulted in less population size and number of iterations. A MATLAB program has been developed for Evolutionary Programming to solve economic load dispatch problem. In this paper EP based ELD problem is solved with stochastic method for competition and selection.
P. Subburaj , L. Ganesan , K. Ramar and M. Rajkumar , 2007. A New Approach to Economic Dispatch Problem with Valve Point Loading Using Evolutionary Programming . International Journal of Electrical and Power Engineering, 1: 251-254.