Abstract
The main objective of economic dispatch problem is to optimally allocate the load demand among the generating stations such that there is decrease in production cost of the power generation. In the present paper, a quasi-oppositional based composite differential evolution (QOCoDE) technique is proposed to economic load dispatch (ELD) problem. The suggested method provides optimal solutions by combining various strategies in generating trial vector with suitable control parameter settings. The proposed technique is applied on various generating units by considering fixed boundary conditions and transmission losses. The obtained results are compared with various evolutionary algorithms. The results demonstrate the capability of QOCoDE to provide optimal solutions when compared to other evolutionary techniques.
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