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 language | English |
|---|---|
| Title of host publication | Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 |
| Pages | 198-202 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 28 Oct 2013 |
| Event | 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 - Bandung, Indonesia Duration: 23 Jun 2013 → 26 Jun 2013 |
Publication series
| Name | Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 |
|---|
Other
| Other | 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013 |
|---|---|
| Country | Indonesia |
| City | Bandung |
| Period | 23/06/13 → 26/06/13 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
Cite this
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Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch. / Rahmat, N. A.; 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 (Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch
AU - Rahmat, N. A.
AU - Musirin, I.
AU - Abidin, A. F.
PY - 2013/10/28
Y1 - 2013/10/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84885990955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885990955&partnerID=8YFLogxK
U2 - 10.1109/TIME-E.2013.6611991
DO - 10.1109/TIME-E.2013.6611991
M3 - Conference contribution
AN - SCOPUS:84885990955
SN - 9781467357326
T3 - Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013
SP - 198
EP - 202
BT - Proceedings of 2013 International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2013
ER -