Solving Various Types of Economic Dispatch Problems By Shuffled De Algorithm
This paper proposes a novel meta-heuristic optimization methodology aimed at solving large scale and non-convex economic dispatch problems. The proposed approach is based on a hybrid shuffled differential evolution (SDE) algorithm which combines the benefits of shuffled frog leaping algorithm and differential evolution. The SDE algorithm integrates an improved technique for equality constraints representation and a novel differential mutation operator specifically designed to effectively address the problem under study. In order to validate the proposed methodology, detailed simulation results obtained on three standard test systems are presented and discussed. A comparative analysis with other settled bio-inspired solution algorithms demonstrates the superior performance of the proposed methodology in terms of both solution accuracy and convergence performances.
Keywords- Non-convex Economic Dispatch, Shuffled Differential Evolution, Shuffled Frog Leaping Algorithm, Valve Point Loading.