Network-based optimization techniques for wind farm location decisions

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Date

2018-11-29

Journal Title

Journal ISSN

Volume Title

Publisher

Frontiers of Engineering Management

Abstract

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.

Description

© The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0) The title of the journal paper, has the same name as my Master's Thesis Title. The content is updated different since it addresses the future work proposed in the original Thesis.

Keywords

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

Citation

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO. Network-based optimization techniques for wind farm location decisions. Front. Eng, https://doi.org/10.15302/J-FEM-2018025