Maximum wind energy extraction of large-scale wind turbines using nonlinear model predictive control via Yin-Yang grey wolf optimization algorithm

Dongran Song, Junbo Liu, Yinggang Yang, Jian Yang, Mei Su, Yun Wang, Ning Gui, Xuebing Yang, Lingxiang Huang and Young Hoon Joo

Energy, 2021, vol. 221, issue C

Abstract: Wind energy extraction for large-scale variable-speed wind turbines could be improved by nonlinear model predictive control. However, the latter entails a sequential global optimization problem with a nonconvex cost function that brings about the heavily computational burden and impedes its real-time application. In this paper, a novel nonlinear model predictive control via Yin-Yang grey wolf optimization algorithm is proposed for maximum wind energy extraction of wind turbines. A dynamic optimization problem with both state and control constraints is constructed, and the single-objective nonlinear function is formulated by using a weighting factor to integrate the extracted wind energy and the generator torque variation within a prediction period of several seconds. On this basis, a complete framework of the nonlinear model predictive control via intelligent algorithm is developed to offer a new paradigm for the design and implementation of the nonlinear model predictive control for wind turbines. Specifically, a new Yin-Yang grey wolf optimization algorithm is proposed, in which the concept of balance between cooperation and competition inspired by Yin-Yang-pair optimization is adopted to achieve the efficient convergence and global optimum. Simulation results verify the superiority of the proposed nonlinear model predictive control via the new Yin-Yang grey wolf optimization algorithm.

Keywords: Wind turbine; Maximum wind energy extraction; Nonlinear model predictive control; Yin-yang grey wolf optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:221:y:2021:i:c:s0360544221001158

DOI: 10.1016/j.energy.2021.119866

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