An evolutive algorithm for wind farm optimal design

An evolutive algorithm for the optimal design of wind farms is presented. The algorithm objective is to optimize the profits given an investment on a wind farm. Net present value will be used as a figure of the revenue. To work out this figure, several economic factors such as the initial capital in...

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Bibliographic Details
Published in:	Neurocomputing (Amsterdam) Vol. 70; no. 16; pp. 2651 - 2658
Main Authors:	Castro Mora, José, Calero Barón, José M., Riquelme Santos, Jesús M., Burgos Payán, Manuel
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-10-2007
Subjects:	Evolutive algorithm Genetic algorithm Optimization Wind farms Wind farms Evolutive algorithm Genetic algorithm Optimization
Online Access:	Get full text
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Summary:	An evolutive algorithm for the optimal design of wind farms is presented. The algorithm objective is to optimize the profits given an investment on a wind farm. Net present value will be used as a figure of the revenue. To work out this figure, several economic factors such as the initial capital investment, the discount rate, the value of the generated energy and the number of the years spanned by the investment are considered. All this factors depends on the preliminary design of the wind park (number, type, tower height and layout situation of wind generators), which are the variables to set.
ISSN:	0925-2312 1872-8286
DOI:	10.1016/j.neucom.2006.05.017