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

17 被引用数 (Scopus)

抄録

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.

本文言語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
編集者Hatib Rahmawan, Mochammad Facta, Munawar A. Riyadi, Deris Stiawan
出版社Institute of Advanced Engineering and Science
ISBN(電子版)9781538605486
DOI
出版ステータス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

出版物シリーズ

名前International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
2017-December
ISSN(印刷版)2407-439X

Other

Other4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017
国/地域Indonesia
CityYogyakarta
Period17/9/1917/9/21

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 情報システム
  • 電子工学および電気工学

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