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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

8 Citations (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.

Original language	English
Title of host publication	Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	7
Publisher	IEEE Press
Publication date	Oct 2017
Pages	3710-3716
ISBN (Electronic)	978-1-5090-2998-3
DOIs	https://doi.org/10.1109/ECCE.2017.8096656
Publication status	Published - Oct 2017
Event	2017 IEEE Energy Conversion Congress and Exposition (ECCE) - Cincinnati, Ohio, United States Duration: 1 Oct 2017 → 5 Oct 2017

Conference

Conference	2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Country/Territory	United States
City	Cincinnati, Ohio
Period	01/10/2017 → 05/10/2017

Keywords

Wind farm
Small signal modeling
Harmonic
Stability
PLL

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10.1109/ECCE.2017.8096656

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

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Cite this

@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. in Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, pp. 3710-3716, 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, Ohio, United States, 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

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