Home > Research > Publications & Outputs > Wind farm layout optimization under uncertainty

Research

Associated organisational unit

Links

Text available via DOI:

Keywords

View graph of relations

Wind farm layout optimization under uncertainty

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Wind farm layout optimization under uncertainty. / Mirhassani, S. Ali; Yarahmadi, Amin.
In: Renewable Energy, Vol. 107, 07.2017, p. 288-297.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Mirhassani, SA & Yarahmadi, A 2017, 'Wind farm layout optimization under uncertainty', Renewable Energy, vol. 107, pp. 288-297. https://doi.org/10.1016/j.renene.2017.01.063

APA

Mirhassani, S. A., & Yarahmadi, A. (2017). Wind farm layout optimization under uncertainty. Renewable Energy, 107, 288-297. https://doi.org/10.1016/j.renene.2017.01.063

Vancouver

Mirhassani SA, Yarahmadi A. Wind farm layout optimization under uncertainty. Renewable Energy. 2017 Jul;107:288-297. Epub 2017 Feb 1. doi: 10.1016/j.renene.2017.01.063

Author

Mirhassani, S. Ali ; Yarahmadi, Amin. / Wind farm layout optimization under uncertainty. In: Renewable Energy. 2017 ; Vol. 107. pp. 288-297.

Bibtex

@article{0651fda89584419393cab746af837946,
title = "Wind farm layout optimization under uncertainty",
abstract = "The optimal design of a wind farm with the aim of increasing the exploitation rate and power production is one of the challenging problems in the field of renewable energies. In this paper, the effect of using different hub height wind turbines in a farm on total power is studied. An exact mathematical formulation is presented in terms of the interaction matrix for multi-turbine wake effects considering different hub height wind turbines, and a new mixed-integer quadratic optimization model is developed. Then, the model is generalized to include the changes in wind characteristics and uncertain parameters. The model is solved using the linearization technique and an iterative method. The performance of the model and solution algorithm is evaluated by solving different problems borrowed from the literature. The computation results show the possibility of having a high-quality solution in a reasonable time in almost all cases.",
keywords = "Wind farm layout optimization, MIP, Wake effect, Interaction matrix, Uncertainty",
author = "Mirhassani, {S. Ali} and Amin Yarahmadi",
year = "2017",
month = jul,
doi = "10.1016/j.renene.2017.01.063",
language = "English",
volume = "107",
pages = "288--297",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Wind farm layout optimization under uncertainty

AU - Mirhassani, S. Ali

AU - Yarahmadi, Amin

PY - 2017/7

Y1 - 2017/7

N2 - The optimal design of a wind farm with the aim of increasing the exploitation rate and power production is one of the challenging problems in the field of renewable energies. In this paper, the effect of using different hub height wind turbines in a farm on total power is studied. An exact mathematical formulation is presented in terms of the interaction matrix for multi-turbine wake effects considering different hub height wind turbines, and a new mixed-integer quadratic optimization model is developed. Then, the model is generalized to include the changes in wind characteristics and uncertain parameters. The model is solved using the linearization technique and an iterative method. The performance of the model and solution algorithm is evaluated by solving different problems borrowed from the literature. The computation results show the possibility of having a high-quality solution in a reasonable time in almost all cases.

AB - The optimal design of a wind farm with the aim of increasing the exploitation rate and power production is one of the challenging problems in the field of renewable energies. In this paper, the effect of using different hub height wind turbines in a farm on total power is studied. An exact mathematical formulation is presented in terms of the interaction matrix for multi-turbine wake effects considering different hub height wind turbines, and a new mixed-integer quadratic optimization model is developed. Then, the model is generalized to include the changes in wind characteristics and uncertain parameters. The model is solved using the linearization technique and an iterative method. The performance of the model and solution algorithm is evaluated by solving different problems borrowed from the literature. The computation results show the possibility of having a high-quality solution in a reasonable time in almost all cases.

KW - Wind farm layout optimization

KW - MIP

KW - Wake effect

KW - Interaction matrix

KW - Uncertainty

U2 - 10.1016/j.renene.2017.01.063

DO - 10.1016/j.renene.2017.01.063

M3 - Journal article

VL - 107

SP - 288

EP - 297

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -