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Enhanced Low-Voltage Ride-Through Coordinated Control for PMSG Wind Turbines and Energy Storage Systems Considering Pitch and Inertia Response

Authors
Kim, ChunghunKim, Wonhee
Issue Date
2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Rotors; Voltage control; Wind speed; Wind power generation; Circuit faults; Torque; Reactive power; Enhanced coordinated controller; DC link voltage; energy storage system; fuzzy-logic controller; rotor inertia; low-voltage ride-through; rotor speed limitation; pitch angle control
Citation
IEEE ACCESS, v.8, pp 212557 - 212567
Pages
11
Journal Title
IEEE ACCESS
Volume
8
Start Page
212557
End Page
212567
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47569
DOI
10.1109/ACCESS.2020.3040905
ISSN
2169-3536
Abstract
Low-voltage ride-through (LVRT) requirements are defined by grid operators, and they vary based on power system characteristics. Coordinated LVRT control methods have been proposed for wind turbines (WTs) and energy storage systems (ESSs). ESSs can successfully help achieve LVRT by regulating DC-link voltage during a grid fault. During LVRT, WTs cannot transfer power to a grid because of their low voltage and current limit. Moreover, as grid operators typically require reactive power support during a grid fault, active power cannot be properly transferred to the grid. This results in fluctuation in the DC-link voltage in wind power generators and it can induce significant damage in the systems. ESS have been used for achieving better LVRT response to protect WT systems and meet LVRT grid requirements. Previous coordinated control methods have mainly focused on DC-link voltage regulation based on ESS charging and discharging control. As ESSs have high installation cost and limited charging capacity, it is better to coordinate the LVRT response properly considering the state of charge of ESSs and the rotor speed and pitch angle of WTs. In this work, an enhanced coordinated LVRT control method is proposed based on a fuzzy-logic algorithm. Fixed torque of the rotor control and a fixed ramp rate of the pitch control are employed for power analysis which is used in formulating fuzzy-logic controller. The effectiveness of the proposed method is validated by modeling a WT and an ESS topologically and performing simulations using the MATLAB/Simulink SimPowerSystems toolbox.
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Kim, Won Hee
공과대학 (에너지시스템 공학부)
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