Renewable energy inclusion on economic power optimization using thunderstorm algorithm

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

研究成果: Conference contribution

12 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
出版者Institute of Advanced Engineering and Science
2017-December
ISBN(電子版)9781538605486
DOI
出版物ステータスPublished - 2017 12 22
イベント4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 - Yogyakarta, Indonesia
継続期間: 2017 9 192017 9 21

Other

Other4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
Indonesia
Yogyakarta
期間17/9/1917/9/21

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Electrical and Electronic Engineering

これを引用

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