Publication: Integrated Optimization Algorithm in Solving Economic Dispatch Problems
Date
2023
Authors
Ismail N.L.
Musirin I.
Dahlan N.Y.
Mansor M.H.
Sentilkumar A.V.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
The utilization of conservative fossil fuels in power generation has played a significant role in driving economic growth, but it has also resulted in adverse consequences towards environmental impacts. This study proposed Multi-objective Hybrid Evolutionary Programming-Barnacles Mating Optimization as a solution to address the Combined Economic Environmental Dispatch problem by weighted-sum method implementation. The bi-objective function are the minimizing of the total generation cost and total emission have been optimized simultaneously. The performance of the algorithm is evaluated on Reliability Test System IEEE 57-Bus consisting of 7 generating units that consider ramp rate limits generator constraint. The proposed algorithm has been compared with the existing techniques, Multi-objective Barnacles Mating Optimizer and Multi-objective Evolutionary Programming. The results reveal that MOHEBMO generates superior and consistent solutions. � 2023 IEEE.
Description
Keywords
barnacles mating optimizer , economic dispatch , evolutionary programming , hybrid algorithm , multi-objective optimization , weighted-sum , Computer programming , Electric load dispatching , Environmental impact , Fossil fuels , Multiobjective optimization , Barnacle mating optimizer , Economic Dispatch , Hybrid algorithms , Integrated optimization , Matings , Multi objective , Multi-objectives optimization , Optimization algorithms , Optimizers , Weighted Sum , Evolutionary algorithms