Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch

Nur Azzammudin Rahmat, I. Musirin, A. F. Abidin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Emission dispatch is a topic that discusses on the discharge of polluting substance by fossil-fuelled generators. The arising concerns towards environmental quality arouse new trend in power flow studies. Emission dispatch has become a vital consideration during load dispatch scheduling and the power utilities are urged to reduce the pollutant volume to the least. Numerous approaches have been employed to solve emission dispatch. This research highlights the implementation of Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. DEIANT algorithm was compared with several approaches including the conventional method, PSO, and ACO algorithm in order to verify the performance of the algorithm. To apprehend the effectiveness of the new algorithm, IEEE 30-Bus Reliable Test System (RTS) was utilized as the sample. The obtained results revealed that DEIANT is more superior to the traditional method, PSO, and ACO, and effectively minimize the emission level.

Original languageEnglish
Title of host publicationProceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013
Pages198-202
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 - Bandung, Indonesia
Duration: 23 Jun 201326 Jun 2013

Other

Other2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013
CountryIndonesia
CityBandung
Period23/06/1326/06/13

Fingerprint

Ant colony optimization
Economics
Particle swarm optimization (PSO)
Scheduling

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Rahmat, N. A., Musirin, I., & Abidin, A. F. (2013). Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. In Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 (pp. 198-202). [6611991] https://doi.org/10.1109/TIME-E.2013.6611991
Rahmat, Nur Azzammudin ; Musirin, I. ; Abidin, A. F. / Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013. 2013. pp. 198-202
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Rahmat, NA, Musirin, I & Abidin, AF 2013, Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. in Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013., 6611991, pp. 198-202, 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013, Bandung, Indonesia, 23/06/13. https://doi.org/10.1109/TIME-E.2013.6611991

Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. / Rahmat, Nur Azzammudin; Musirin, I.; Abidin, A. F.

Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013. 2013. p. 198-202 6611991.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Rahmat NA, Musirin I, Abidin AF. Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. In Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013. 2013. p. 198-202. 6611991 https://doi.org/10.1109/TIME-E.2013.6611991