A Bacterial Foraging and PSO-DE Algorithm for Solving Dynamic Economic Dispatch Problem with Valve-Point Effects

This paper presents a heuristic optimization methodology Bacterial foraging and PSO-DE (BPSO-DE) by integrating Bacterial foraging optimization Algorithm (BFOA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) for solving Dynamic Economic Dispatch problem (DED) with valve-point effects. PSO and DE are excellent evolutionary algorithms but they face solution stagnation problem after certain number of generations, as the population is not converged locally, they will stop proceeding towards global optimal solutions. The BFOA is currently gaining popularity in the community of researchers, for its effectiveness in solving certain difficult real problems. In the proposed method BFOA performs local search and global search for entire search space is accomplished through PSO-DE operators in this way they move to reach the global optimization. A ten-unit sample test system is considered to show the effectiveness of the proposed method over other methods.