Fast adaptive finite-time terminal sliding mode power control for the rotor side converter of the DFIG based wind energy conversion system

Patnaik, R. K.; Dash, P.K.

doi:10.1016/j.segan.2015.01.002

Cited by 25 publications

(8 citation statements)

References 17 publications

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“…A thorough literature review of TSMC for DFIG-based WECS is tabulated in Table 5. For instance, the author in [173] proposed adaptive FTSMC for DFIG-based WECS to mitigate the chat-tering in the system dynamics. The author in [174] proposed ITSMC for the direct power control of DFIG-based WECS.…”

Section: Terminal Sliding Mode Controlmentioning

confidence: 99%

Integer and Fractional-Order Sliding Mode Control Schemes in Wind Energy Conversion Systems: Comprehensive Review, Comparison, and Technical Insight

Sami

Ullah

Khan³

et al. 2022

Fractal Fract

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The technological development in wind energy conversion systems (WECSs) places emphasis on the injection of wind power into the grid in a smoother and robust way. Sliding mode control (SMC) has proven to be a popular solution for the grid-connected WECS due to its robust nature. This paper reviews the enhancement trends in the integer-order SMC (IOSMC) and fractional-order SMC (FOSMC) schemes reported in reputed journals over the last two decades. This work starts with a mathematical description of the wind turbine, generators, grid, and SMC and its variants available in literature. A comprehensive literature review is tabulated that includes the proposed errors, sliding surfaces, typologies, and major outcomes. Moreover, a comparative analysis of the integer-order and fractional-order SMC and its variants is also presented in this paper. This paper will provide insight for the researcher working in the WECS and will serve them in the selection and exploration of the most appropriate control schemes for quality wind power extraction. The concise mathematical proofs of the IOSMC, FOSMC and their variants will also serve the researchers in selecting the relevant sliding surfaces control laws for their research tasks. This paper also provides a comparative analysis of IOSMC, FOSMC, and fuzzy-FOSMC in terms of chattering reduction, robustness, and computational complexities using mathematical theories, simulation carried out in Matlab/Simulink, and a processor in the loop (PIL)-based experimental environment.

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Section: Terminal Sliding Mode Controlmentioning

confidence: 99%

Integer and Fractional-Order Sliding Mode Control Schemes in Wind Energy Conversion Systems: Comprehensive Review, Comparison, and Technical Insight

Sami

Ullah

Khan³

et al. 2022

Fractal Fract

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“…Advanced and robust nonlinear controllers enhance renewable energy resources, especially DFIG and solar photovoltaic cells. Using an adaptive sliding mode controller, the authors discussed the DFIG behaviour under switching faults and considerable wind speed variation for generator speeds below and above the synchronous rates [25]. In [26], an optimal power generation strategy is proposed using the Gravitational Search Algorithm (GSA) and control for a two-area interconnected system to achieve sustained oscillations and reduced settling time.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Low Voltage Ride-Through Resilience in Grid-Connected Doubly-Fed-Induction-Generator with Sliding Mode Controller

Ananth,

Vineela

2024

Preprint

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In power systems, grid disturbances are prevalent, causing significant challenges for Doubly-Fed Induction Generators (DFIGs). During these disturbances, the windings of DFIGs are exposed to large offset inrush currents, which can damage the converter switches and capacitors. Additionally, low voltage faults result in a dip in the rotor speed, leading to current injection in the rotor windings at the changed rotor slip frequency during the fault. This behaviour can be detected using stator two-axis instantaneous voltage and flux. In this study, we propose an innovative application of Sliding Mode Control (SMC) in both the rotor-side converter (RSC) and grid-side converter (GSC) control schemes of a DFIG. The primary objective is to effectively control the flux decay and reduce torque pulsations, rotor speed variations, and current deviations through an enhanced SMC approach. The proposed technique compensates and rapidly decomposes the stator dc-offset flux component based on deviations in the speed of the rotor with the reference value and the dc flux. To assess the effectiveness of the proposed approach, we conduct a comparative analysis between the conventional Proportional-Integral (PI) control and the proposed SMC technique under symmetrical grid fault conditions. The results demonstrate the superior performance of the enhanced SMC in mitigating the adverse effects of grid disturbances on DFIGs.

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“…As reported, integrating the fractional concept with the terminal sliding surface could effectively mitigate the chattering and deliver a desirable performance. In [23], the RSC control of DFIG-based WECS was addressed via a fast adaptive TSMC considering diverse and challenging situations. In another study [4], the recurrent high-order neural network trained with the extended Kalman filter was developed to build up the DFIG models.…”

Section: Introductionmentioning

confidence: 99%

Observer-Based High-Order Sliding Mode Control of DFIG-Based Wind Energy Conversion Systems Subjected to Sensor Faults

Mousavi,

Bevan,

Kucukdemiral

et al. 2024

IEEE Trans. on Ind. Applicat.

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Recent advances in technology have paved the way for the increased penetration of wind energy conversion systems (WECSs) into the grid, worldwide. However, the existence of model uncertainties and intermittency of wind power can lead to malfunction of the stabilizing controllers and degrade the WECSs' power production performance. In this work, a compound control scheme comprising active fault-tolerant fractional-order nonsingular terminal sliding mode controllers (AFTSMCs) and a sliding mode observer (SMO) is developed to enhance the robustness of doubly-fed induction generator (DFIG) -based WECSs against uncertainties and maintain their desired performance. The developed AFTSMCs alleviate the chattering problem and overcome the compromise between fast response and the undesirable chattering problem. At the same time, it performs the speed trajectory tracking and rotor current regulation tasks. Moreover, under inevitable false fault detections due to unavoidable gradual performance degradations in the current sensors, a tolerance boundary is circumscribed for actual faults occurrence, allowing the developed robust SMO to estimate and reconstruct the rotor current during sensor faults with a high level of reliability. Evaluations of comparative performance are provided and validate the cooperative fault-tolerant method's superior control performance over other advanced approaches.

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Fast adaptive finite-time terminal sliding mode power control for the rotor side converter of the DFIG based wind energy conversion system

Cited by 25 publications

References 17 publications

Integer and Fractional-Order Sliding Mode Control Schemes in Wind Energy Conversion Systems: Comprehensive Review, Comparison, and Technical Insight

Integer and Fractional-Order Sliding Mode Control Schemes in Wind Energy Conversion Systems: Comprehensive Review, Comparison, and Technical Insight

Enhancing Low Voltage Ride-Through Resilience in Grid-Connected Doubly-Fed-Induction-Generator with Sliding Mode Controller

Observer-Based High-Order Sliding Mode Control of DFIG-Based Wind Energy Conversion Systems Subjected to Sensor Faults

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