Renewable energy inclusion on economic power optimization using thunderstorm algorithm

A. N. Afandi; Goro Fujita; Nguyen Phuc Khai; Yunis Sulistyorini; Nedim Tutkun

doi:10.1109/EECSI.2017.8239141

Renewable energy inclusion on economic power optimization using thunderstorm algorithm

A. N. Afandi, Goro Fujita, Nguyen Phuc Khai, Yunis Sulistyorini, Nedim Tutkun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

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	https://doi.org/10.1109/EECSI.2017.8239141
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

Fingerprint

Keywords

Economic operation
Pollutant emission
Renewable energy
Thunderstorm algorithm

ASJC Scopus subject areas

Computer Science (miscellaneous)
Information Systems
Electrical and Electronic Engineering

Cite this

Afandi, A. N., Fujita, G., Khai, N. P., Sulistyorini, Y., & Tutkun, N. (2017). Renewable energy inclusion on economic power optimization using thunderstorm algorithm. In Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 (Vol. 2017-December). Institute of Advanced Engineering and Science. https://doi.org/10.1109/EECSI.2017.8239141

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

Afandi, AN, Fujita, G, Khai, NP, Sulistyorini, Y & Tutkun, N 2017, Renewable energy inclusion on economic power optimization using thunderstorm algorithm. in Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017. vol. 2017-December, Institute of Advanced Engineering and Science, 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017, Yogyakarta, Indonesia, 17/9/19. https://doi.org/10.1109/EECSI.2017.8239141

Afandi AN, Fujita G, Khai NP, Sulistyorini Y, Tutkun N. Renewable energy inclusion on economic power optimization using thunderstorm algorithm. In Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017. Vol. 2017-December. Institute of Advanced Engineering and Science. 2017 https://doi.org/10.1109/EECSI.2017.8239141

Afandi, A. N. ; Fujita, Goro ; Khai, Nguyen Phuc ; Sulistyorini, Yunis ; Tutkun, Nedim. / Renewable energy inclusion on economic power optimization using thunderstorm algorithm. Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017. Vol. 2017-December Institute of Advanced Engineering and Science, 2017.

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Access to Document

10.1109/EECSI.2017.8239141