Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines
Taesu Jeon,
Dongmyoung Kim,
Yuan Song and
Insu Paek
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Taesu Jeon: Department of Integrated Energy & Infra System, Kangwon National University, Gangwon, Chuncheon 24341, Korea
Dongmyoung Kim: Department of Integrated Energy & Infra System, Kangwon National University, Gangwon, Chuncheon 24341, Korea
Yuan Song: Department of Advanced Mechanical Engineering, Kangwon National University, Gangwon, Chuncheon 24341, Korea
Insu Paek: Department of Integrated Energy & Infra System, Kangwon National University, Gangwon, Chuncheon 24341, Korea
Energies, 2021, vol. 14, issue 18, 1-18
Abstract:
In this study, a demanded power point tracking (DPPT) control algorithm was designed for the application of multiple-input multiple-output (MIMO) modern control algorithms. The proposed DPPT control algorithm has been newly implemented as a multiple reference trajectory method for applying an MIMO control algorithm without mode switches. Dynamic simulations and wind tunnel experiments were performed using a scaled wind turbine to validate the proposed control algorithm. The wind speeds were 4.6 and 7.3 m/s, the average wind speeds corresponding to region 2 and region 3, respectively, with a turbulence intensity of 10%. Both sets of results demonstrated satisfactory performance for tracking the power commands transmitted from the wind farm controller. Furthermore, the proposed control algorithm was compared and validated with a DPPT control algorithm proposed in previous studies, and its improved control performance and validity were confirmed.
Keywords: multiple-input multiple-output (MIMO); active power control (APC); demanded power point tracking (DPPT) control; linear quadratic regulator (LQR); wind tunnel testing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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