Network-based optimization techniques for wind farm location decisions

被引：11

作者：

Cisneros-Saldana, Jorge Ignacio ^{[1
]}

Hosseinian, Seyedmohammadhossein ^{[2
]}

Butenko, Sergiy ^{[2
]}

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

[2] Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA

来源：

FRONTIERS OF ENGINEERING MANAGEMENT | 2018年 / 5卷 / 04期

关键词：

wind energy; wind farm location; network analysis; optimization; clique; s-plex;

D O I：

10.15302/J-FEM-2018025

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study aims to find appropriate locations for wind farms that can maximize the overall energy output while controlling the effects of wind speed variability. High wind speeds are required to obtain the maximum possible power output of a wind farm. However, balancing the wind energy supplies over time by selecting diverse locations is necessary. These issues are addressed using network-based models. Hence, actual wind speed data are utilized to demonstrate the advantages of the proposed approach.

引用

页码：533 / 540

页数：8

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