Optimization of Short-term Overproduction Response of Variable Speed Wind Turbines

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

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Optimization of Short-term Overproduction Response of Variable Speed Wind Turbines. / Altin, Müfit; Hansen, Anca Daniela; Barlas, Athanasios; Das, Kaushik; Sakamuri, Jayachandra N.

In: I E E E Transactions on Sustainable Energy, Vol. 9, No. 4, 2018, p. 1732-1739.

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

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@article{16fc812e626e46e0a28bf16b7aeb8b10,
title = "Optimization of Short-term Overproduction Response of Variable Speed Wind Turbines",
abstract = "Emphasis in this article is on the optimization of the short-term overproduction response of variable speed wind turbines for synthetic inertia provision or fast frequency control. The short-term overproduction response of wind turbines plays a crucial role in the enhancement of the resilience of future power systems with low inertia especially during large frequency disturbances. Novel optimization approaches employing the genetic algorithm are proposed to maximize the released energy from the wind turbine during its overproduction period considering the electrical and mechanical constraints. Based on the optimization results, the article identifies and analyses a set of relevant aspects to be taken into account by power system operators and wind turbine developers in the process of designing the synthetic inertia provision or the fast frequency control. Additionally, the impact of the short-term over production response on the wind turbine structural loading is analyzed through a set of aeroelastic simulations to further investigate aerodynamic limitations.",
keywords = "Wind energy integration, Heuristic optimization, Wind energy, Power generation control, Short-term overproduction, Genetic algorithm, Inertial response",
author = "M{\"u}fit Altin and Hansen, {Anca Daniela} and Athanasios Barlas and Kaushik Das and Sakamuri, {Jayachandra N.}",
year = "2018",
doi = "10.1109/TSTE.2018.2810898",
language = "English",
volume = "9",
pages = "1732--1739",
journal = "I E E E Transactions on Sustainable Energy",
issn = "1949-3029",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

RIS

TY - JOUR

T1 - Optimization of Short-term Overproduction Response of Variable Speed Wind Turbines

AU - Altin, Müfit

AU - Hansen, Anca Daniela

AU - Barlas, Athanasios

AU - Das, Kaushik

AU - Sakamuri, Jayachandra N.

PY - 2018

Y1 - 2018

N2 - Emphasis in this article is on the optimization of the short-term overproduction response of variable speed wind turbines for synthetic inertia provision or fast frequency control. The short-term overproduction response of wind turbines plays a crucial role in the enhancement of the resilience of future power systems with low inertia especially during large frequency disturbances. Novel optimization approaches employing the genetic algorithm are proposed to maximize the released energy from the wind turbine during its overproduction period considering the electrical and mechanical constraints. Based on the optimization results, the article identifies and analyses a set of relevant aspects to be taken into account by power system operators and wind turbine developers in the process of designing the synthetic inertia provision or the fast frequency control. Additionally, the impact of the short-term over production response on the wind turbine structural loading is analyzed through a set of aeroelastic simulations to further investigate aerodynamic limitations.

AB - Emphasis in this article is on the optimization of the short-term overproduction response of variable speed wind turbines for synthetic inertia provision or fast frequency control. The short-term overproduction response of wind turbines plays a crucial role in the enhancement of the resilience of future power systems with low inertia especially during large frequency disturbances. Novel optimization approaches employing the genetic algorithm are proposed to maximize the released energy from the wind turbine during its overproduction period considering the electrical and mechanical constraints. Based on the optimization results, the article identifies and analyses a set of relevant aspects to be taken into account by power system operators and wind turbine developers in the process of designing the synthetic inertia provision or the fast frequency control. Additionally, the impact of the short-term over production response on the wind turbine structural loading is analyzed through a set of aeroelastic simulations to further investigate aerodynamic limitations.

KW - Wind energy integration

KW - Heuristic optimization

KW - Wind energy

KW - Power generation control

KW - Short-term overproduction

KW - Genetic algorithm

KW - Inertial response

U2 - 10.1109/TSTE.2018.2810898

DO - 10.1109/TSTE.2018.2810898

M3 - Journal article

VL - 9

SP - 1732

EP - 1739

JO - I E E E Transactions on Sustainable Energy

JF - I E E E Transactions on Sustainable Energy

SN - 1949-3029

IS - 4

ER -