Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem

A.N. Afandi, Irham Fadlika, Andoko Andoko


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.

Full Text:



Article Metrics

Abstract view : 307 times
PDF - 286 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604