Modified Krill Herd Algorithm for constrained economic load dispatch problem

Abstract

ABSTRACT Meta-heuristic techniques are gaining attractiveness to solve constrained economic load dispatch problems due to higher global solution capacity, flexibility and derivative-free structure. In this paper, Modified Krill Herd Algorithm (MKHA) is used to solve economic load dispatch problem having non-linear characteristics of generators and considering transmission losses. The proposed MKHA is a nature-inspired technique that incorporates crossover and mutation process designed in differential evolution which causes the krill to execute local search within definite section. Constraints manipulation trial is also made functional in the direction of approaching equality constraints to change total power generation depending upon the requirement of power by consumers. The proposed algorithm is testified on three systems and assessment is prepared on the basis of minimisation of fuel cost and arithmetic procedures. Relative examination of obtained outcome illustrates the efficacy of the proposed algorithm, with regard to the quality of solutions and higher efficiency.