Approximate error considered fuzzy proportional–integral control of DFIG with regional pole placement for FRT improvement

Li, Xiaoming; Su, Kai; Zhang, Xiuyu; Wu, Yingjie; Lin, Zongli

doi:10.1049/iet-gtd.2016.1825

Cited by 6 publications

(1 citation statement)

References 21 publications

(24 reference statements)

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“…Advanced control methods (a) Crowbar [22] (b) Crowbar with series R-L [23] (c) Crowbar with SBR [24] (d) Crowbar with DC-link chopper [24] Energy storage based technique (ESS) [26] Series dynamic braking resistor (SDBR) [24] Series grid side converter (SGSC) [27] (a) Fault current limiter (FCL) [28] (b) Superconducting fault current limiter (SFCL) [29] Shunt compensation: (a) Static VAR compensator (SVC) [30] (b) Static compensator (STATCOM) [30,31] Series voltage compensation: (a) Dynamic voltage restorer (DVR) [32] (b) Magnetic energy recovery switch (MERS) [33] Hybrid compensation: (a) Unified power quality conditioner (UPQC) [34] Blade pitch orientation control based low voltage ride through [36] Modified vector control [37] Hysteresis control [38,39] Transient current controller by feed-forward compensator (TCCFFC) [40] Sliding mode control (SMC) [41] Fuzzy logic control (FLC) [41,42] Model predictive control (MPC) [43,44] Auto disturbance rejection control (ADRC) [45][46][47][48] Other advanced techniques [65][66][67][68][69][70][71][72][73][74][75][76]…”

Section: Traditional Control Methodsmentioning

confidence: 99%

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Mosayyebi

Shahalami

Mojallali

2022

Prot Control Mod Power Syst

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In this paper, an overview of several strategies for fault ride-through (FRT) capability improvement of a doubly-fed induction generator (DFIG)-based wind turbine is presented. Uncertainties and parameter variations have adverse effects on the performance of these strategies. It is desirable to use a control method that is robust to such disturbances. Auto disturbance rejection control (ADRC) is one of the most common methods for eliminating the effects of disturbances. To improve the performance of the conventional ADRC, a modified ADRC is introduced that is more robust to disturbances and offers better responses. The non-derivability of the fal function used in the conventional ADRC degrades its efficiency, so the modified ADRC uses alternative functions that are derivable at all points, i.e., the odd trigonometric and hyperbolic functions (arcsinh, arctan, and tanh). To improve the efficiency of the proposed ADRC, fuzzy logic and fractional-order functions are used simultaneously. In fuzzy fractional-order ADRC (FFOADRC), all disturbances are evaluated using a nonlinear fractional-order extended state observer (NFESO). The performance of the suggested structure is investigated in MATLAB/Simulink. The simulation results show that during disturbances such as network voltage sag/swell, using the modified ADRCs leads to smaller fluctuations in stator flux amplitude and DC-link voltage, lower variations in DFIG velocity, and lower total harmonic distortion (THD) of the stator current. This demonstrates the superiority over conventional ADRC and a proportional-integral (PI) controller. Also, by changing the crowbar resistance and using the modified ADRCs, the peak values of the waveforms (torque and currents) can be controlled at the moment of fault occurrence with no significant distortion.

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Section: Traditional Control Methodsmentioning

confidence: 99%

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Mosayyebi

Shahalami

Mojallali

2022

Prot Control Mod Power Syst

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Review on FRT solutions for improving transient stability in DFIG‐WTs

Jerin

Palanisamy

Subramaniam

et al. 2018

IET Renewable Power Generation

102

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Fault-ride-through (FRT) is an imperative capability in wind turbines (WTs) to ensure grid security and transient stability. However, doubly fed induction generator-based WTs (DFIG-WTs) are susceptible to disturbances in grid voltage, and therefore require supplementary protection to ensure nominal operation. The recent amendments in grid code requirements to ensure FRT capability has compelled this study of various FRT solutions. Therefore, for improving FRT capability in pre-installed WTs, re-configuration using external retrofit-based solutions is more suitable and generally adapted. The most relevant external solutions based on retrofitting available are classified as (a) protection circuit and storage-based methods and (b) flexible alternating current transmission system-based reactive power injection methods. However, for new DFIG-WT installations, internal control modification of rotor-side converter (RSC) and grid-side converter (GSC) controls are generally preferred. The solutions based on modifications in RSC and GSC control of DFIG-WT are classified as (a) traditional control techniques and (b) advanced control techniques. This study ensures to curate and compare the FRT solutions available based on external retrofitting-based solutions and internal control modifications. Also, the future trends in FRT augmentation of DFIG-WTs are discussed in this study.

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A Saturated Amorphous Alloy Core Based Smart Fault Current Limiter for Improving the Low Voltage Ride Through Capability of Distributed Generation Units

Islam

Muttaqi

Sutanto

2020

2020 IEEE Industry Applications Society Annual Meeting

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Approximate error considered fuzzy proportional–integral control of DFIG with regional pole placement for FRT improvement

Cited by 6 publications

References 21 publications

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC

Review on FRT solutions for improving transient stability in DFIG‐WTs

A Saturated Amorphous Alloy Core Based Smart Fault Current Limiter for Improving the Low Voltage Ride Through Capability of Distributed Generation Units

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