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: Article

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
ページ(範囲)377-382
ページ数6
ジャーナルInternational Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
4
DOI
出版物ステータスPublished - 2017 9 1

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ASJC Scopus subject areas

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

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