Wind farm optimization

Download
2013
Yousefbeigi, Sogand
In this thesis, a mixed integer linear program is used to formulate the optimization process of a wind farm. As a start point, a grid was superimposed into the wind farm, in which grid points represent possible wind turbine locations. During the optimization process, proximity and wind interference between wind turbines were considered in order to found the power loss of the wind farm. Power loss was analyzed by using wind interference coefficient, which is a function of wind intensity interference factor (WIIF), weibull distribution and power of the wind turbines. Two different programs; Genetic Algorithm and Lingo, were used to solve the MILP optimization formula and results were compared for different cases in the conclusion part.

Suggestions

Dynamic modelling and simulation of a wind turbine
Altuğ, Ayşe Hazal; Yavrucuk, İlkay; Department of Aerospace Engineering (2015)
In this thesis, a dynamic model for a horizontal axis wind turbine is developed for an upwind configuration using the MATLAB/Simulink environment. Blade Element Momentum Theory is used to model the rotor. It is assumed that the rotor blades are rigid and wind speed is uniform. Aerodynamic and gravitational forces are calculated as distributed loads. Verification of the model is done by using the LMS Samtech, Samcef for Wind Turbines software. Aerodynamic properties of the blades, sectional loads and moments...
Micro-siting of wind turbines using navier-stokes solutions coupled with a numerical weather prediction model
Ahmet, Gökhan; Tuncer, İsmail Hakkı; Department of Aerospace Engineering (2014)
High resolution atmospheric flow solutions are obtained with an in-house, parallelized 3 dimensional Navier-Stokes solver, HYP3D coupled with a meso-scale meteorological weather prediction software, WRF, and the wind potential of a specified terrain is assessed based on long term atmospheric flow solutions. Body-fitted grids are employed to discretize the complex terrain of interest in HYP3D. In the study, high resolution (1.5 arcsec) topographical data is used to discretize the specified terrain. In HYP3D ...
Investigation of layout optimization for offshore wind farms and a case study for a region in Turkey
Kaya, Baran; Oğuz, Elif; Department of Civil Engineering (2022-2)
In this thesis, the focus was to develop an optimization tool by using mathematical layout optimization methods aiming to increase the energy capacity or reduce the cost of an offshore wind farm. For this purpose, two wind farm layout optimization (WFLO) models were developed using genetic algorithm (GA): model (a) minimizing the cost of power for variable turbine number, model (b) maximizing the power generation for fixed turbine number. Wind speed and wind direction were assumed constant. Therefore, unlik...
Derivative free algorithms for large scale non-smooth optimization and their applications
Tor, Ali Hakan; Karasözen, Bülent; Department of Mathematics (2013)
In this thesis, various numerical methods are developed to solve nonsmooth and in particular, nonconvex optimization problems. More specifically, three numerical algorithms are developed for solving nonsmooth convex optimization problems and one algorithm is proposed to solve nonsmooth nonconvex optimization problems. In general, main differences between algorithms of smooth optimization are in the calculation of search directions, line searches for finding step-sizes and stopping criteria. However, in nonsmoo...
Bi-directional evolutionary algorithm for volume constrained topology optimization of axisymmetric solids
Tikenoğulları, Oğuz Ziya; Oral, Süha; Department of Mechanical Engineering (2015)
In this thesis, topology optimization of axisymmetric solids is studied. Analysis of the axisymmetric problem is performed by coding an axisymmetric finite element formulation in association with the optimization code which is based on Bi-Directional Evolutionary Optimization (BESO) method. The optimization method used in this study includes recent improvements to the evolutionary optimization algorithms. These are bi-directional evolution, sensitivity number filtering and sensitivity-time averaging. In the...
Citation Formats
S. Yousefbeigi, “Wind farm optimization,” M.S. - Master of Science, Middle East Technical University, 2013.