Active Disturbance Rejection Control for Wind Turbine Fatigue Load

Xingkang Jin (), Wen Tan, Yarong Zou and Zijian Wang
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Xingkang Jin: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Wen Tan: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Yarong Zou: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Zijian Wang: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China

Energies, 2022, vol. 15, issue 17, 1-15

Abstract: With the participation of wind power in grid frequency modulation, the fatigue load of the wind turbine increases accordingly. A new control method that considers both fatigue load and output power of wind turbine (WT) is proposed in this paper. A linear active disturbance rejection control (LADRC) is designed and applied for the pitch angle in the wind turbine load reduction control. The particle swarm optimization (PSO) algorithm is used to optimize the parameters of the wind turbine controller, and the total variation of the wind turbine shaft torque and tower bending moment is added to construct a new objective function to further reduce the fatigue load of the wind turbine. The design-optimized controller is validated on a 5 MW wind turbine in SimWindFarm. The simulation results show that the LADRC controller can accurately track the reference power of the wind turbine, reduce the pitch angle fluctuation of the wind turbine, reduce the fatigue load of the wind turbine, and improve the service life of the wind turbine.

Keywords: wind turbine; fatigue load; pitch angle; linear active disturbance rejection control(LADRC); particle swarm optimization (PSO); total variation (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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