Small signal modeling of wind farms

Esmaeil Ebrahimzadeh; Frede Blaabjerg; Xiongfei Wang; Claus Leth Bak; Torsten  Lund; Gert K.   Andersen; Carlos Gómez  Suárez; Jens-Jacob  Berg

doi:10.1109/ECCE.2017.8096656

Small signal modeling of wind farms

Esmaeil Ebrahimzadeh, Frede Blaabjerg, Xiongfei Wang, Claus Leth Bak, Torsten Lund, Gert K. Andersen, Carlos Gómez Suárez, Jens-Jacob Berg

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

8 Citationer (Scopus)

Abstract

In large power electronic systems like a wind farm, the mutual interactions between the control systems of the power converters can lead to various stability and power quality problems. In order to predict the system dynamic behavior, this paper presents an approach to model a wind farm as a Multi-Input Multi-Output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point. Each sub-module of the wind farm is modeled as a 2×2 admittance matrix in dq-domain and all are combined together by using a dq nodal admittance matrix. The frequency and damping of the oscillatory modes are calculated by finding the poles of the introduced MIMO matrix. Time-domain simulation results obtained from a 400-MW wind farm are used to verify the effectiveness of the presented model.

Originalsprog	Engelsk
Titel	Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Antal sider	7
Forlag	IEEE Press
Publikationsdato	okt. 2017
Sider	3710-3716
ISBN (Elektronisk)	978-1-5090-2998-3
DOI	https://doi.org/10.1109/ECCE.2017.8096656
Status	Udgivet - okt. 2017
Begivenhed	2017 IEEE Energy Conversion Congress and Exposition (ECCE) - Cincinnati, Ohio, USA Varighed: 1 okt. 2017 → 5 okt. 2017

Konference

Konference	2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Land/Område	USA
By	Cincinnati, Ohio
Periode	01/10/2017 → 05/10/2017

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10.1109/ECCE.2017.8096656

http://ieeexplore.ieee.org/document/8096656/

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Citationsformater

@inproceedings{cff402e092fd4bef91374968fabd6546,

title = "Small signal modeling of wind farms",

abstract = "In large power electronic systems like a wind farm, the mutual interactions between the control systems of the power converters can lead to various stability and power quality problems. In order to predict the system dynamic behavior, this paper presents an approach to model a wind farm as a Multi-Input Multi-Output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point. Each sub-module of the wind farm is modeled as a 2×2 admittance matrix in dq-domain and all are combined together by using a dq nodal admittance matrix. The frequency and damping of the oscillatory modes are calculated by finding the poles of the introduced MIMO matrix. Time-domain simulation results obtained from a 400-MW wind farm are used to verify the effectiveness of the presented model.",

keywords = "Wind farm, Small signal modeling, Harmonic, Stability, PLL",

author = "Esmaeil Ebrahimzadeh and Frede Blaabjerg and Xiongfei Wang and Bak, {Claus Leth} and Torsten Lund and Andersen, {Gert K.} and Su{\'a}rez, {Carlos G{\'o}mez} and Jens-Jacob Berg",

year = "2017",

month = oct,

doi = "10.1109/ECCE.2017.8096656",

language = "English",

pages = "3710--3716",

booktitle = "Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE Press",

note = "2017 IEEE Energy Conversion Congress and Exposition (ECCE) ; Conference date: 01-10-2017 Through 05-10-2017",

}

Ebrahimzadeh, E, Blaabjerg, F , Wang, X , Bak, CL, Lund, T, Andersen, GK, Suárez, CG & Berg , J-J 2017, Small signal modeling of wind farms. i Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, s. 3710-3716, 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, Ohio, USA, 01/10/2017. https://doi.org/10.1109/ECCE.2017.8096656

TY - GEN

T1 - Small signal modeling of wind farms

AU - Ebrahimzadeh, Esmaeil

AU - Blaabjerg, Frede

AU - Wang, Xiongfei

AU - Bak, Claus Leth

AU - Lund, Torsten

AU - Andersen, Gert K.

AU - Suárez, Carlos Gómez

AU - Berg , Jens-Jacob

PY - 2017/10

Y1 - 2017/10

N2 - In large power electronic systems like a wind farm, the mutual interactions between the control systems of the power converters can lead to various stability and power quality problems. In order to predict the system dynamic behavior, this paper presents an approach to model a wind farm as a Multi-Input Multi-Output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point. Each sub-module of the wind farm is modeled as a 2×2 admittance matrix in dq-domain and all are combined together by using a dq nodal admittance matrix. The frequency and damping of the oscillatory modes are calculated by finding the poles of the introduced MIMO matrix. Time-domain simulation results obtained from a 400-MW wind farm are used to verify the effectiveness of the presented model.

AB - In large power electronic systems like a wind farm, the mutual interactions between the control systems of the power converters can lead to various stability and power quality problems. In order to predict the system dynamic behavior, this paper presents an approach to model a wind farm as a Multi-Input Multi-Output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point. Each sub-module of the wind farm is modeled as a 2×2 admittance matrix in dq-domain and all are combined together by using a dq nodal admittance matrix. The frequency and damping of the oscillatory modes are calculated by finding the poles of the introduced MIMO matrix. Time-domain simulation results obtained from a 400-MW wind farm are used to verify the effectiveness of the presented model.

KW - Wind farm

KW - Small signal modeling

KW - Harmonic

KW - Stability

KW - PLL

U2 - 10.1109/ECCE.2017.8096656

DO - 10.1109/ECCE.2017.8096656

M3 - Article in proceeding

SP - 3710

EP - 3716

BT - Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

T2 - 2017 IEEE Energy Conversion Congress and Exposition (ECCE)

Y2 - 1 October 2017 through 5 October 2017

ER -

Small signal modeling of wind farms

Abstract

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