@inproceedings{c030db3b93af40bb94a8729b84f09fe7,
title = "Optimal power and cost on placement of Wind turbines using Firefly Algorithm",
abstract = "This paper proposes a placement technique of wind turbines to optimize the total output power and cost in a wind farm using firefly algorithm. The research considered the wake effect of wind turbines and was run for 3 cases: constant wind speed and constant wind direction, constant wind speed and variable wind direction, variable wind speed and variable wind direction. It focused on finding the best position of each turbine in wind farm to minimize the impact of a turbine on others in term of harnessing the power. The simulation shows that the best position was achieved when 73 turbines are installed in Wind Farm with total power 37,611 kW ( 518.4 kW each) and 2 kilometers square length of area when wind speed 12 m/s and wind direction constant.",
keywords = "cost, firefly algorithm, optimal, power, wind turbine",
author = "Dwiana Hendrawati and Adi Soeprijanto and Mochamad Ashari",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Conference on Sustainable Energy Engineering and Application, ICSEEA 2015 ; Conference date: 05-10-2015 Through 07-10-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/ICSEEA.2015.7380746",
language = "English",
series = "Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "59--64",
editor = "Midriem Mirdanies and Pramana, {Rakhmad Indra} and Sanjaya, {Kadek Heri} and Saputra, {Hendri Maja}",
booktitle = "Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application",
address = "United States",
}