Integrated Optimization Algorithm in Solving Economic Dispatch Problems

• Main Authors: Ismail N.L., Musirin I., Dahlan N.Y., Mansor M.H., Sentilkumar A.V.
• Other Authors: 57190935802
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: 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

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.