Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model
Abstract
Wind Farm Layout Optimization (WFLO) can be useful to minimize power losses associated with turbine wakes in wind farms. This work presents a new evolutionary WFLO methodology integrated with a recently developed and successfully validated Gaussian wake model (Bastankhah and Porté-Agel model). Two different parametrizations of the evolutionary methodology are implemented, depending on if a baseline layout is considered or not. The proposed...
Paper Details
Title
Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model
Published Date
Nov 23, 2018
Journal
Volume
11
Issue
12
Pages
3268 - 3268
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