Optimal electric network design for a large offshore wind farm based on a modified genetic algorithm approach

Francisco Gonzalez-Longatt; P. Wall; P. Regulski; V. Terzija

doi:10.1109/JSYST.2011.2163027

Optimal electric network design for a large offshore wind farm based on a modified genetic algorithm approach

Francisco Gonzalez-Longatt, P. Wall, P. Regulski, V. Terzija

Coventry University

Research output: Contribution to journal › Article

149 Citations (Scopus)

Original language	English
Pages (from-to)	164-172
Journal	IEEE Systems Journal
Volume	6
Issue number	1
DOIs	https://doi.org/10.1109/JSYST.2011.2163027
Publication status	Published - Mar 2012

Bibliographical note

The full text is not available from this repository. Please note Dr Gonzalez-Longatt was working at the University of Manchester at the time of publication.
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

biological cells
encoding
investments
optimization
substations
wind farms
wind turbines

Access to Document

10.1109/JSYST.2011.2163027

Cite this

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title = "Optimal electric network design for a large offshore wind farm based on a modified genetic algorithm approach",

keywords = "biological cells, encoding, investments, optimization, substations, wind farms, wind turbines",

author = "Francisco Gonzalez-Longatt and P. Wall and P. Regulski and V. Terzija",

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AU - Regulski, P.

AU - Terzija, V.

N1 - The full text is not available from this repository. Please note Dr Gonzalez-Longatt was working at the University of Manchester at the time of publication. © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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M3 - Article

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