Chaos-enhanced cuckoo search for economic dispatch with valve point effects

Abstract

Economic dispatch determines the optimal generation outputs to minimize the toal fuel cost whilesatisfying the load demand and operational constraints. Modern optimization techniques fail to solve theproblem in a robust manner and finding robust global optimization techniques is necessary for efficientsystem operation. In this study, the potentiality of introducing chaos into the standard Cuckoo Search (CS)in order to further enhance its global search ability is investigated. Deterministic chaotic maps are randombasedtechniques that can provide a balanced exploration and exploitation searches for the algorithm. Four different variants are generated by carefully choosing four different locations (within the standard CS)with potential adoption of a candidate chaotic map. Then detailed studies are carried out on benchmarkpower system problems with four different locations to find out the most efficient one. The best of all testcases generated is chosen and compared with algorithms presented in the literature. The results show thatthe proposed method with the proposed chaotic map outperforms standard CS. Additionally, the chaosenhancedCS has a very good performance in comparison with QPSO and NSS.