An evolutive algorithm for wind farm optimal design

被引：109

作者：

Castro Mora, Jose ^{[1
]}

Calero Baron, Jose M. ^{[1
]}

Riquelme Santos, Jesus M. ^{[1
]}

Burgos Payan, Manuel ^{[1
]}

机构：

[1] Univ Seville, Dept Elect, Escuela Superior Ingn, E-41092 Seville, Spain

来源：

NEUROCOMPUTING | 2007年 / 70卷 / 16-18期

关键词：

wind farms; optimization; genetic algorithm; evolutive algorithm;

D O I：

10.1016/j.neucom.2006.05.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：2651 / 2658

页数：8