Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems

This article presents a novel and effective algorithm for solving the non-convex economic dispatch problems (EDP) by integrating the differential evolution (DE) and evolutionary programming (EP) techniques. This hybrid DE-EP based economic dispatch (DE-EPBED) algorithm utilizes the strengths of both the techniques to explore the search space to find the best solution. This algorithm incorporates the non-convexity of the EDP while formulating the evaluation function and constraints. To validate the feasibility and effectiveness of the presented algorithm, experiments were carried out on five different test systems. It is demonstrated that, the hybrid DE-EP algorithm for non-convex EDPs generates quality solutions quicidy and reliably.