Fractional-order Sliding Mode Control of Hybrid Drive Wind Turbine for Improving Low-voltage Ride-through Capacity

Wang Ziwei; Yin Wenliang; Liu Lin; Wang Yue; Zhang Cunshan; Rui Xiaoming

DOI:10.35833/MPCE.2022.000701


Fractional-order Sliding Mode Control of Hybrid Drive Wind Turbine for Improving Low-voltage Ride-through Capacity



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Author: Ziwei Wang¹, Wenliang Yin¹, Lin Liu², Yue Wang¹, Cunshan Zhang¹, Xiaoming Rui³
Author Affiliation: 1. School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China 2. School of Electrical and Data Engineering, University of Technology Sydney, NSW 2007, Australia 3. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Foundation:	This work was supported by the National Natural Science Foundation of China (No. 52005306), the Shandong Provincial Natural Science Foundation (No. ZR2020QE220), and the Open Fund of Key Laboratory of Modern Power Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University (No. MPSS2022-02).

Abstract:	A hybrid drive wind turbine equipped with a speed regulating differential mechanism can generate electricity at the grid frequency by an electrically excited synchronous generator without requiring fully or partially rated converters. This mechanism has extensively been studied in recent years. To enhance the transient operation performance and low-voltage ride-through capacity of the proposed hybrid drive wind turbine, we aim to synthesize an advanced control scheme for the flexible regulation of synchronous generator excitation based on fractional-order sliding mode theory. Moreover, an extended state observer is constructed to cooperate with the designed controller and jointly compensate for parametric uncertainties and external disturbances. A dedicated simulation model of a 1.5 MW hybrid drive wind turbine is established and verified through an experimental platform. The results show satisfactory model performance with the maximum and average speed errors of 1.67% and 1.05%, respectively. Moreover, comparative case studies are carried out considering parametric uncertainties and different wind conditions and grid faults, by which the superiority of the proposed controller for improving system on-grid operation performance is verified.
Keywords:	Sliding mode controller (SMC) ; extended state observer (ESO) ; low-voltage ride through (LVRT) ; synchronous generator (SG) ; speed regulation ; wind power ; wind turbine

Received:October 26, 2022 Online Time:2023/09/20



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