LAPSE:2023.8596
Published Article

LAPSE:2023.8596
Improvements to and Experimental Validation of PI Controllers Using a Reference Bias Control Algorithm for Wind Turbines
February 24, 2023
Abstract
In this study, a reference bias control (RBC) algorithm for variable speed and variable pitch wind turbines was designed and validated. To improve the performance of conventional PI control algorithms, the RBC algorithm applies biased references to power and pitch angle to the pitch and the torque control loops, respectively. To validate the control performance of the improved RBC algorithm, hardware in the loop simulator (HILS) was conducted using a commercial programmable logic controller (PLC). The performance of a conventional PI control algorithm and the proposed RBC algorithm were compared for the target wind turbine model in terms of both the transition region and the rated power region. In the transition region, the proposed RBC algorithm improved the sudden dips in the generator torque and power, which often occur when using a control algorithm with a switching logic. As a result, the damage equivalent load (DEL) of the main shaft was reduced by 15%. In the rated power region, the rotor speed deviation was reduced by 22% and the power deviation was reduced by 21%. To experimentally validate the control performance and applicability of the RBC algorithm, wind tunnel testing using a wind turbine scaled model was additionally performed. Similarly to the HILS testing result, it was confirmed that the DEL of the main shaft and fluctuation of the rotor speed and power decreased with the proposed RBC algorithm.
In this study, a reference bias control (RBC) algorithm for variable speed and variable pitch wind turbines was designed and validated. To improve the performance of conventional PI control algorithms, the RBC algorithm applies biased references to power and pitch angle to the pitch and the torque control loops, respectively. To validate the control performance of the improved RBC algorithm, hardware in the loop simulator (HILS) was conducted using a commercial programmable logic controller (PLC). The performance of a conventional PI control algorithm and the proposed RBC algorithm were compared for the target wind turbine model in terms of both the transition region and the rated power region. In the transition region, the proposed RBC algorithm improved the sudden dips in the generator torque and power, which often occur when using a control algorithm with a switching logic. As a result, the damage equivalent load (DEL) of the main shaft was reduced by 15%. In the rated power region, the rotor speed deviation was reduced by 22% and the power deviation was reduced by 21%. To experimentally validate the control performance and applicability of the RBC algorithm, wind tunnel testing using a wind turbine scaled model was additionally performed. Similarly to the HILS testing result, it was confirmed that the DEL of the main shaft and fluctuation of the rotor speed and power decreased with the proposed RBC algorithm.
Record ID
Keywords
hardware in the loop simulator (HILS), proportional–integral (PI) control, reference bias control (RBC), switching logic, wind tunnel testing
Subject
Suggested Citation
Jeon T, Kim D, Paek I. Improvements to and Experimental Validation of PI Controllers Using a Reference Bias Control Algorithm for Wind Turbines. (2023). LAPSE:2023.8596
Author Affiliations
Jeon T: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea [ORCID]
Kim D: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea [ORCID]
Paek I: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea; Department of Mechatronics Engineering, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea
Kim D: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea [ORCID]
Paek I: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea; Department of Mechatronics Engineering, Kangwon National University, Chuncheon-si 24341, Gangwon, Korea
Journal Name
Energies
Volume
15
Issue
21
First Page
8298
Year
2022
Publication Date
2022-11-07
ISSN
1996-1073
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Original Submission
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PII: en15218298, Publication Type: Journal Article
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LAPSE:2023.8596
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https://doi.org/10.3390/en15218298
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Feb 24, 2023
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