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Comparison of ABC and Genetic Algorithms on Economic Power Dispatch
(Ieee, 2018) Afandi, A.N.; Fadlika, Irham; Sendari, Siti; Miyauchi, Hajime; Fujita, Goro; Tutkun, Nedim
Recently, an economic evaluation of the power system becomes one of main issues in the power system management since the power production and power selling consider a financial aspect. The system should be operated in the lowest cost and cheaper fee for consumers. In particular, an environmental protection also becomes a major issue to penetrate the pollutant production of thermal power plants. To cover this issue, one of strategies is approached using a combined economic emission dispatch (CEED) considered an economic dispatch (ED) and an emission dispatch (EmD). In these studies, the CEED is optimized using Artificial Bee Colony Algorithm which is contrasted to Genetic Algorithm for comparing both performances. By considering both algorithms, results show that generated powers lead to the total cost and pollutant emission. The total minimum cost is performed in the optimal solution with different speeds. Combinations of ED and EmD also give difference implications.