A Comparative Study of Optimal Individual Pitch Control Methods

Abhinandan Routray, Nitin Sivakumar, Sung-ho Hur () and Deok-je Bang ()
Additional contact information
Abhinandan Routray: School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Nitin Sivakumar: School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Sung-ho Hur: School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Deok-je Bang: Electric Machine and Drives Research Center, Korea Electrotechnology Research Institute (KERI), Changwon 51543, Republic of Korea

Sustainability, 2023, vol. 15, issue 14, 1-25

Abstract: Wind turbines are subjected to asymmetric loads and fatigue with subsequent increases in their dimension and capacity, leading to a reduction in their lifetime. To address this problem, the individual pitch control (IPC) technique is quite familiar in the control of wind turbines. IPC is used to reduce the tilt and yaw moments, simultaneously alleviating the turbine blade-root bending moments (BRBMs). This study discusses the performance of model predictive control (MPC), H-infinity ( H ∞ ), and proportional and integral (PI)-based IPC strategies integrated with collective pitch control. The performance of the reported controllers has been validated using the National Renewable Energy Laboratory (NREL) 5 MW full nonlinear reference wind turbine. Simulation studies are conducted at varying wind speeds and turbulent intensities as per international electrotechnical commission (IEC) norms. Comparative results in the time and frequency domains indicate that the H ∞ based IPC achieves enhanced control performance in terms of reduction in BRBMs and damage equivalent load compared to MPC and PI-based control strategies.

Keywords: wind turbine; individual pitch control; optimal control; load reduction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/14/10933/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/14/10933/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:14:p:10933-:d:1192445

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().