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 while satisfying
the load demand and operational constraints. Modern optimization techniques
fail to solve the problem in a robust manner and finding robust global
optimization techniques is necessary for efficient system 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 randombased techniques 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 benchmark power system problems
with four different locations to find out the most efficient one. The best of
all test cases generated is chosen and compared with algorithms presented in
the literature. The results show that the proposed method with the proposed
chaotic map outperforms standard CS. Additionally, the chaosenhanced CS has a
very good performance in comparison with QPSO and NSS.
Keywords: power plants
operation, economic dispatch, Cuckoo search, metaheuristic algorithm, chaotic maps
Journal Code: jptkomputergg160297
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