![](/images/graphics-bg.png)
Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-25
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
As an alternative to fossil fuels, wind can be considered because it is a renewable and greenhouse gas-free natural resource.
When wind power is generated by wind turbines in a wind farm, the optimal placement of turbines is critical because different layouts produce different efficiencies.
The objective of the wind turbine placement problem is to maximize the generated power while minimizing the cost in installing the turbines.
This study proposes an efficient optimization formulation for the optimal layout of wind turbine placements under the resources (e.g., number of turbines) or budget limit by introducing corresponding constraints.
The proposed formulation gave users more conveniences in considering resources and budget bounds.
After performing the optimization, results were compared using two different methods (branch and bound method and genetic algorithm) and two different objective functions.
American Psychological Association (APA)
Geem, Zong Woo& Hong, Junhee. 2013. Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1031919
Modern Language Association (MLA)
Geem, Zong Woo& Hong, Junhee. Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1031919
American Medical Association (AMA)
Geem, Zong Woo& Hong, Junhee. Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1031919
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031919