Economic Generation Scheduling Using Genetic Algorithm

Abstract

Genetic algorithms are adaptive search methods that simulate some of the natural processes: selection, information, inheritance, random mutation and population dynamics. This paper presents an approach based on genetic algorithm to solve the economic load dispatch (ELD) problem with losses for thermal plant systems. This approach was tested for thermal plant systems. The performance of Genetic Algorithm - intelligent approach (GAs) is observed that this method is accurate and may replace effectively the conventional practices presently performed in different central load dispatch centers.