The aim of the thesis is the optimization of wind farm layout: given a specific wind farm site and wind data for the site, an optimal location of turbines is determined such that the power production is maximized and wake effects and other constraints are taken into account. Several Mixed Integer Linear Programming (MILP) models and ad-hoc heuristics have been proposed, and a new approach for very large-scale instances has been developed. Tests on real data show the effectiveness of our method

Mixed Integer Programming Models and Algorithms for Wind Farm Layout

Fischetti, Martina
2014/2015

Abstract

The aim of the thesis is the optimization of wind farm layout: given a specific wind farm site and wind data for the site, an optimal location of turbines is determined such that the power production is maximized and wake effects and other constraints are taken into account. Several Mixed Integer Linear Programming (MILP) models and ad-hoc heuristics have been proposed, and a new approach for very large-scale instances has been developed. Tests on real data show the effectiveness of our method
Scuola di Ingegneria
INGEGNERIA DELL'AUTOMAZIONE
2014-04-07
mixed integer linear programming, wind farm layout, wake effect, heuristics, proximity search, optimization, wind energy, green energy
Monaci, Michele
Lauree magistrali
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/17839