Directional Search Genetic Algorithm Applications to Economic Dispatch of Thermal Units

Abstract

This paper proposes a novel directional search genetic algorithm (DSGA) for solving the Economic Dispatch (ED) problem with fixed boundary conditions. In this paper, a new population generation technique has been employed by using Lambda Limits updation technique. The incremental cost of the generating unit is taken as the decision variable. The feasibility of the proposed method is demonstrated for three different systems, and is compared with various methods available in literature. The proposed algorithm works well for both small- and large-scale generating units and it remarkably reduces the computation time, number of iterations taken to converge, and population size.