The collection of the main issues for wind farm optimisation in complex terrain

Chang Xu; Dandan Chen; Xingxing Han; Hangping Pan; Wen Zhong Shen

doi:10.1088/1742-6596/753/3/032066

The collection of the main issues for wind farm optimisation in complex terrain

Chang Xu, Dandan Chen, Xingxing Han, Hangping Pan, Wen Zhong Shen

Hohai University

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

The paper aims at establishing the collection of the main issues for wind farm optimisation in complex terrain. To make wind farm cost effective, this paper briefly analyses the main factors influencing wind farm design in complex terrain and sets up a series of mathematical model that includes micro-siting, collector circuits, access roads design for optimization problems. The paper relies on the existing one year wind data in the wind farm area and uses genetic algorithm to optimize the micro-siting problem. After optimization of the turbine layout, single-source shortest path algorithm and minimum spanning tree algorithm are used to optimize collector circuits and access roads. The obtained results can provide important guidance for wind farms construction.

Original language	English
Article number	032066
Book series	Journal of Physics: Conference Series (Online)
Volume	753
Issue number	3
Number of pages	12
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/753/3/032066
Publication status	Published - 2016
Event	The Science of Making Torque from Wind 2016 - Technische Universität München (TUM), Munich, Germany Duration: 5 Oct 2016 → 7 Oct 2016 Conference number: 6 https://www.events.tum.de/?sub=29

Conference

Conference	The Science of Making Torque from Wind 2016
Number	6
Location	Technische Universität München (TUM)
Country/Territory	Germany
City	Munich
Period	05/10/2016 → 07/10/2016
Internet address	https://www.events.tum.de/?sub=29

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title = "The collection of the main issues for wind farm optimisation in complex terrain",

abstract = "The paper aims at establishing the collection of the main issues for wind farm optimisation in complex terrain. To make wind farm cost effective, this paper briefly analyses the main factors influencing wind farm design in complex terrain and sets up a series of mathematical model that includes micro-siting, collector circuits, access roads design for optimization problems. The paper relies on the existing one year wind data in the wind farm area and uses genetic algorithm to optimize the micro-siting problem. After optimization of the turbine layout, single-source shortest path algorithm and minimum spanning tree algorithm are used to optimize collector circuits and access roads. The obtained results can provide important guidance for wind farms construction.",

author = "Chang Xu and Dandan Chen and Xingxing Han and Hangping Pan and Shen, {Wen Zhong}",

year = "2016",

doi = "10.1088/1742-6596/753/3/032066",

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AU - Pan, Hangping

AU - Shen, Wen Zhong

N1 - Conference code: 6

PY - 2016

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N2 - The paper aims at establishing the collection of the main issues for wind farm optimisation in complex terrain. To make wind farm cost effective, this paper briefly analyses the main factors influencing wind farm design in complex terrain and sets up a series of mathematical model that includes micro-siting, collector circuits, access roads design for optimization problems. The paper relies on the existing one year wind data in the wind farm area and uses genetic algorithm to optimize the micro-siting problem. After optimization of the turbine layout, single-source shortest path algorithm and minimum spanning tree algorithm are used to optimize collector circuits and access roads. The obtained results can provide important guidance for wind farms construction.

AB - The paper aims at establishing the collection of the main issues for wind farm optimisation in complex terrain. To make wind farm cost effective, this paper briefly analyses the main factors influencing wind farm design in complex terrain and sets up a series of mathematical model that includes micro-siting, collector circuits, access roads design for optimization problems. The paper relies on the existing one year wind data in the wind farm area and uses genetic algorithm to optimize the micro-siting problem. After optimization of the turbine layout, single-source shortest path algorithm and minimum spanning tree algorithm are used to optimize collector circuits and access roads. The obtained results can provide important guidance for wind farms construction.

U2 - 10.1088/1742-6596/753/3/032066

DO - 10.1088/1742-6596/753/3/032066

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JO - Journal of Physics: Conference Series (Online)

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T2 - The Science of Making Torque from Wind 2016

Y2 - 5 October 2016 through 7 October 2016

ER -

The collection of the main issues for wind farm optimisation in complex terrain

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