Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem
Abstract: Evolutionary methods
dominate in the computation for breaking out the real problems. For a couple of
years, it is more popular than classical methods for solving many cases.
Technically, one of real problems is the emission dispatch and economic
dispatch (EDED) problem. The EDED problem is used to optimize the power system
operation (PSO) at a certain time under some constraints. This paper presents
performance comparison between Harvest Season Artificial Bee Colony (HSABC) and
Genetic Algorithms on the EDED problem applied to the IEEE-62 bus system.
Simulation results show that the tested methods have difference characteristics
and abilities for optimizing the PSO based on the EDED problem.
Keywords: economic dispatch,
emission dispatch, genetic algorithm, HSABC algorithm, power system operation
Author: A.N. Afandi, Irham
Fadlika, Andoko Andoko
Journal Code: jptkomputergg150191
Artikel Terkait :
Jp Teknik Komputer gg 2015
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