TY  - JOUR
T1  - A New Approach to Economic Dispatch Problem with Valve Point Loading Using Evolutionary Programming
AU - , P. Subburaj AU - , L. Ganesan AU - , K. Ramar AU - , M. Rajkumar 
JO  - International Journal of Electrical and Power Engineering
VL  - 1
IS  - 2
SP  - 251
EP  - 254
PY  - 2007
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2007.251.254
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2007.251.254
KW  - Power systems
KW  -optimization
KW  -evolutionary programming
KW  -economic dispatch
KW  -valve-point loading
AB  - 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.
ER  -