@inproceedings{c9c5e58f227b4f09bac2575effc877ef,
title = "Renewable energy inclusion on economic power optimization using thunderstorm algorithm",
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.",
keywords = "Economic operation, Pollutant emission, Renewable energy, Thunderstorm algorithm",
author = "Afandi, {A. N.} and Goro Fujita and Khai, {Nguyen Phuc} and Yunis Sulistyorini and Nedim Tutkun",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 ; Conference date: 19-09-2017 Through 21-09-2017",
year = "2017",
month = dec,
day = "22",
doi = "10.1109/EECSI.2017.8239141",
language = "English",
series = "International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)",
publisher = "Institute of Advanced Engineering and Science",
editor = "Hatib Rahmawan and Mochammad Facta and Riyadi, {Munawar A.} and Deris Stiawan",
booktitle = "Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017",
}