A Q-learning based robust MPC method for DFIG to suppress the rotor overcurrent

Song, Yuyan; Wang, Yuhong; Zeng, Qi; Zheng, Zongsheng; Liao, Jianquan; Liao, Yiben

doi:10.1016/j.ijepes.2022.108106

Cited by 9 publications

(2 citation statements)

References 33 publications

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“…In 36 , Song, Yuyan, et al proposed a Q-learning-based robust model predictive control strategy for DFIGs as a means of mitigating rotor overcurrent and preventing frequent activation of the crowbar circuit in the event of grid disturbances. R. Hiremath and T. Moger introduced a modified super-twisting technique that utilizes second order sliding mode control in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Ravi,

Kumar,

Dhanamjayulu

et al. 2023

Sci Rep

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Renewable energy integration introduces grid instability due to variable and intermittent sources like solar and wind, impacting reliability. This paper provides a thorough discussion of recent advancements and emerging trends in grid-integrated wind energy systems (GIWES) and grid-integrated solar energy systems (GISES). More than 70 research articles have been rigorously assessed and listed the technological and economic challenges. The increase in installations of grid-Integrating systems gives rise to challenges like as grid strain, peak shaving impacts, unpredictability of renewable energy sources (RES), and power quality disturbances. A variety of custom power devices, such as dynamic voltage restorers (DVR), static synchronous compensators (STATCOM), active power filters (APF), and unified power quality conditioners (UPQC), have gained popularity in response to these challenges. Among the various challenges, power quality disturbances, including voltage sag, swell, current and harmonics pose significant issues. To address these disturbances this work present a novel approach utilizing fuzzy logic (FL) to develop multi-feeder interline unified power-quality conditioners (MF-IUPQCs). The MF-IUPQC has three legs and three levels, each of which has four diode-clamped inverters. Switching is carried out through the use of space vector pulse width/duration modulation (SVPWM). Total harmonic distortion (THD) induced by nonlinear loads is reduced by the FLC-based MF-IUPQC, which also improves dynamic performance and offers a smooth DC-link voltage. The proposed control mechanism is implemented using MATLAB/Simulink. The fuzzy-based controller is compared to the industry-standard proportional-integral (PI) controller to determine its efficacy. Among them, the MF-IUPQC based on FLC delivers the smoothest voltage profile and the lowest THD.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Ravi,

Kumar,

Dhanamjayulu

et al. 2023

Sci Rep

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“…The demagnetization current control suppresses the direct current (DC) component of the DFIG stator magnetic flux to realize low-voltage ride through (LVRT) [4,5]. Model predictive control based on Q-learning is used to suppress rotor overcurrent during voltage sag [6]. Virtual impedance control (VIC) suppresses current over-limit by increasing the virtual damping of the rotor side [7][8][9]; however, the fixed virtual impedance value is difficult to adapt to the influence of uncertain disturbance, which easily causes an unsatisfactory control effect.…”

Section: Introductionmentioning

confidence: 99%

Control Strategy of Doubly-Fed Induction Generator under Zero Voltage Fault of Power Grid

Yang

Liang

et al. 2022

Sustainability

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For improving the zero-voltage ride through the capability of a doubly fed induction generator in high proportion new energy grid in extreme faults, a coordinated control scheme of hardware and optimal control strategy is proposed. A high-temperature superconductive-fault current limiter suppresses stator fault current, adaptive virtual impedance control and active dynamic reactive power support control act on the back-to-back converter of wind turbines as optimal control strategies. Optimizing the control strategy without changing the controller structure is beneficial to engineering implementation. After mathematical derivation and simulation verification, the coordinated control strategy adopted in this paper can effectively avoid the rotor current and voltage exceeding the limit when the wind turbine is facing extreme faults, actively provide reactive power support for the busbar, realize zero voltage ride through and reduce the risk of high voltage failure at the point of failure. The control effect is obviously better than the traditional virtual impedance control.

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A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy

Hou,

Huang,

Zheng

et al. 2024

Energy

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A Q-learning based robust MPC method for DFIG to suppress the rotor overcurrent

Cited by 9 publications

References 33 publications

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Control Strategy of Doubly-Fed Induction Generator under Zero Voltage Fault of Power Grid

A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy

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