@inproceedings{0ae27efbdb5f4debbe337594278f7fa7,
title = "Optimal number of wind turbine in farm layout with power maximization",
abstract = "Designing of wind farm layout is complex and challenging task due to its space and cost associated constraints. Usually, turbines are positioned in close proximity. Thus, the generated power of downstream turbine is affected by the wake effect produced by upstream turbine. This is challenge to power system planning and reliability forecasting. Therefore, it is a non linear constraint optimization problem. Thus, in this paper, differential evolution strategy is used to find optimal positioning and number of wind turbine for maximization of power generation incorporating wake effect. Strategy implemented have two characteristics: (a) dimension is reduced to two (b) population size parameter is eliminated. Results provide the optimal number of wind turbine in farm layout with maximization of power output.",
keywords = "Differential evolution, Wake effect, Wind farm layout, Wind turbine",
author = "Saini, {Vikash Kumar} and Bharat Singh and Mahto, {Dinesh Kumar} and Akhilesh Mathur and Rajesh Kumar",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020 ; Conference date: 16-12-2020 Through 19-12-2020",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/PEDES49360.2020.9379401",
language = "English",
series = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020",
address = "United States",
}
