Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


case1270056861.pdf (521.85 KB)

ETD Abstract Container

Abstract Header

Optimization of the Layout of Large Wind Farms using a Genetic Algorithm

Mittal, Anshul
http://rave.ohiolink.edu/etdc/view?acc_num=case1270056861

Abstract Details

2010, Master of Sciences (Engineering), Case Western Reserve University, EMC - Fluid and Thermal Engineering.
In this study, a code ‘Wind Farm Optimization using a Genetic Algorithm’ (referred as WFOG) is developed in MATLAB for optimizing the placement of wind turbines in large wind farms to minimize the cost per unit power produced from the wind farm. A genetic algorithm is employed for the optimization. WFOG is validated using the results from previous studies. The grid spacing (distance between two nodes where a wind turbine can be placed) is reduced to 1/40 wind turbine rotor diameter as compared to 5 rotor diameter in previous studies. Results are obtained for three different wind regimes: Constant wind speed and fixed wind direction, constant wind speed and variable wind direction, and variable wind speed and variable wind direction. Cost per unit power is reduced by 11.7 % for Case 1, 11.8 % for Case 2, and 15.9 % for Case 3 for results obtained using WFOG. The advantages/benefits of a refined grid spacing of 1/40 rotor diameter (1 m) are evident and are discussed.
J. Iwan D. Alexander, PhD (Committee Chair)
Alexis R. Abramson, PhD (Committee Member)
Jaikrishnan R. Kadambi, PhD (Committee Member)
Joseph M. Prahl, PhD (Committee Member)
90 p.
Energy; Mechanical Engineering
Wind turbine; micro-siting; optimization; wind turbine wake; genetic algorithm

Recommended Citations

Citations

  • Mittal, A. (2010). Optimization of the Layout of Large Wind Farms using a Genetic Algorithm [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1270056861

    APA Style (7th edition)

  • Mittal, Anshul. Optimization of the Layout of Large Wind Farms using a Genetic Algorithm. 2010. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1270056861.

    MLA Style (8th edition)

  • Mittal, Anshul. "Optimization of the Layout of Large Wind Farms using a Genetic Algorithm." Master's thesis, Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270056861

    Chicago Manual of Style (17th edition)

case1270056861
9,305
© 2010, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.