State of the Art in Wind Farm Layout Optimization

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– Document in progress –

Introduction

Wind farm layout optimization has been a subject of research for alm

ost 15 years.

Recently, with the increase of focus on

offshore wind energy, where positioning the turbine is based on fewer types of factors, it has raised in interest dramatically.

Optimization Methods

Genetic Algorithm

Genetic algorithm seems to be the most popular approach so far.

It was first introduced by Mosetti et al. in 1994 [?], and followed by many others [?], [?], [?], [?], [?], [?], [?], [?], [?], [?], [?], and [?].

Heuristic Methodology

Aytun Ozturk et al. [?], and Elkinton et al. [?] used a greedy heuristic methodology.

Swarm Optimization

Wan et al. [?] advocate the use of swarm optimization as more efficient than genetic algorithms.

Pattern Search

Du Pont and Cagan [?] use a pattern search algorithm with stochastic injections to avoid converging to local minima.

Cost Functions

Financial Balance
Foundation
Electrical Grid

Wake Models

Test Cases

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References

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