Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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; Vol. 2020-July).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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 -