Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability. / Poschke, Florian; Schulte, Horst.
2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9177658 (IEEE International Conference on Fuzzy Systems; Band 2020-July).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Poschke, F & Schulte, H 2020, Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability. in 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings., 9177658, IEEE International Conference on Fuzzy Systems, Bd. 2020-July, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Fuzzy Systems - FUZZ 2020, Glasgow, Großbritannien / Vereinigtes Königreich, 19.07.20. https://doi.org/10.1109/FUZZ48607.2020.9177658

APA

Poschke, F., & Schulte, H. (2020). Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability. In 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings Artikel 9177658 (IEEE International Conference on Fuzzy Systems; Band 2020-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ48607.2020.9177658

Vancouver

Poschke F, Schulte H. Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability. in 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9177658. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZ48607.2020.9177658

Bibtex

@inbook{94d8206fd0704ff1b1f53cd05b162d43,
title = "Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability",
abstract = "In the light of an increasing share in the electrical grid, wind turbines must be enabled to provide grid stabilizing behavior. This can be achieved by a variation of the turbine's power output depending on the current state of the electrical grid. However, changes of power output excite oscillations in the turbine structure. To reduce the loading caused by the considered frequency droop scheme, in this paper a nonlinear model-based filter design in a Takagi-Sugeno structure is proposed. The design uses Lyapunov function-based linear matrix inequalities for deriving the necessary feedback gains of the filter. The results are obtained for NREL's 5 MW reference turbine. By connecting FAST to an analytic power system model, we study the effects on turbine loading as a result of frequency stabilization in case of a load imbalance. The proposed filter is designed and implemented to reduce the damage equivalent load of the tower fore-aft motion, and its influence on the frequency trajectory is studied.",
keywords = "Engineering",
author = "Florian Poschke and Horst Schulte",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Fuzzy Systems - FUZZ 2020, FUZZ 2020 ; Conference date: 19-07-2020 Through 24-07-2020",
year = "2020",
month = jul,
doi = "10.1109/FUZZ48607.2020.9177658",
language = "English",
isbn = "978-1-7281-6933-0",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings",
address = "United States",

}

RIS

TY - CHAP

T1 - Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability

AU - Poschke, Florian

AU - Schulte, Horst

N1 - Publisher Copyright: © 2020 IEEE.

PY - 2020/7

Y1 - 2020/7

N2 - In the light of an increasing share in the electrical grid, wind turbines must be enabled to provide grid stabilizing behavior. This can be achieved by a variation of the turbine's power output depending on the current state of the electrical grid. However, changes of power output excite oscillations in the turbine structure. To reduce the loading caused by the considered frequency droop scheme, in this paper a nonlinear model-based filter design in a Takagi-Sugeno structure is proposed. The design uses Lyapunov function-based linear matrix inequalities for deriving the necessary feedback gains of the filter. The results are obtained for NREL's 5 MW reference turbine. By connecting FAST to an analytic power system model, we study the effects on turbine loading as a result of frequency stabilization in case of a load imbalance. The proposed filter is designed and implemented to reduce the damage equivalent load of the tower fore-aft motion, and its influence on the frequency trajectory is studied.

AB - In the light of an increasing share in the electrical grid, wind turbines must be enabled to provide grid stabilizing behavior. This can be achieved by a variation of the turbine's power output depending on the current state of the electrical grid. However, changes of power output excite oscillations in the turbine structure. To reduce the loading caused by the considered frequency droop scheme, in this paper a nonlinear model-based filter design in a Takagi-Sugeno structure is proposed. The design uses Lyapunov function-based linear matrix inequalities for deriving the necessary feedback gains of the filter. The results are obtained for NREL's 5 MW reference turbine. By connecting FAST to an analytic power system model, we study the effects on turbine loading as a result of frequency stabilization in case of a load imbalance. The proposed filter is designed and implemented to reduce the damage equivalent load of the tower fore-aft motion, and its influence on the frequency trajectory is studied.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85090497672&partnerID=8YFLogxK

U2 - 10.1109/FUZZ48607.2020.9177658

DO - 10.1109/FUZZ48607.2020.9177658

M3 - Article in conference proceedings

AN - SCOPUS:85090497672

SN - 978-1-7281-6933-0

T3 - IEEE International Conference on Fuzzy Systems

BT - 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Fuzzy Systems - FUZZ 2020

Y2 - 19 July 2020 through 24 July 2020

ER -

DOI

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