Short term hydrothermal scheduling using multi-objective differential evolution with three chaotic sequences

Abstract

Short-term hydrothermal optimal scheduling with economic emission (SHOSEE) is a multi-objective and complex constrained optimization problem. In this paper, three chaotic sequences based multi-objective differential evolution (CS-MODE) is proposed to solve this SHOSEE problem, and it utilizes elitist archive mechanism to retain the non-dominated individuals, which improves the convergence ability in the differential evolution, and a heuristic two-step constraint-handling technique is utilized to handle those complex equality and inequality constraints in SHOSEE problem. Furthermore, in order to avoid premature convergence, the proposed CS-MODEs have integrated three chaotic mappings into differential evolution to implement population space search, it enlarges search space and enriches the diversity of individuals generated in evolution process. The compromise scheme is selected from the non-dominated set to represent the average efficiency level on the hydrothermal system, and the obtained simulation result also reveals the feasibility and effectiveness of proposed CS-MODEs in comparison to other methods established recently.