Abstract
This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 |
| Publisher | Institute of Advanced Engineering and Science |
| Volume | 2017-December |
| ISBN (Electronic) | 9781538605486 |
| DOIs | |
| Publication status | Published - 2017 Dec 22 |
| Event | 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 - Yogyakarta, Indonesia Duration: 2017 Sep 19 → 2017 Sep 21 |
Other
| Other | 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 |
|---|---|
| Country | Indonesia |
| City | Yogyakarta |
| Period | 17/9/19 → 17/9/21 |
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Keywords
- Economic operation
- Pollutant emission
- Renewable energy
- Thunderstorm algorithm
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Information Systems
- Electrical and Electronic Engineering
Cite this
Renewable energy inclusion on economic power optimization using thunderstorm algorithm. / Afandi, A. N.; Fujita, Goro; Khai, Nguyen Phuc; Sulistyorini, Yunis; Tutkun, Nedim.
Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017. Vol. 2017-December Institute of Advanced Engineering and Science, 2017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Renewable energy inclusion on economic power optimization using thunderstorm algorithm
AU - Afandi, A. N.
AU - Fujita, Goro
AU - Khai, Nguyen Phuc
AU - Sulistyorini, Yunis
AU - Tutkun, Nedim
PY - 2017/12/22
Y1 - 2017/12/22
N2 - This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.
AB - This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.
KW - Economic operation
KW - Pollutant emission
KW - Renewable energy
KW - Thunderstorm algorithm
UR - http://www.scopus.com/inward/record.url?scp=85046466760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046466760&partnerID=8YFLogxK
U2 - 10.1109/EECSI.2017.8239141
DO - 10.1109/EECSI.2017.8239141
M3 - Conference contribution
AN - SCOPUS:85046466760
VL - 2017-December
BT - Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
PB - Institute of Advanced Engineering and Science
ER -