Nonlinear Control Strategies for Enhancing the Performance of DFIG-Based WECS under a Real Wind Profile

Article Engineering, Electrical & Electronic

Energy-shaping L2-gain controller for PMSG wind turbine to mitigate subsynchronous interaction

Penghan Li et al.

Summary: The paper proposes an ESLGC method to mitigate SSI in PMSG systems, showing better stability and robustness compared to conventional control methods in experiments.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

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Article Energy & Fuels

Application of Superconductors to Suppress Ferroresonance Overvoltage in DFIG-WECS

Mohamed Mosaad et al.

Summary: This paper investigates the impact of ferroresonance on the overall performance of a DFIG-WECS and proposes a new technique to improve the high voltage ride through capability. The proposed technique incorporates a superconducting coil within the dc-link of the DFIG and controls the energy exchange between the coil and the system through regulating the duty cycle of the dc-chopper.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2022)

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Proceedings Paper Engineering, Industrial

Comparative Study of MPPT Controllers for a Wind Energy Conversion System

Hamid Chojaa et al.

Summary: This paper discusses the modeling and control of a wind turbine using the MPPT technique based on the TSR method. A comparative study of four different control laws is conducted, and the performance of the proposed control laws is tested under various operating conditions. The simulations show that the MPPT artificial neural network controller outperforms other controllers due to its ability to map between inputs and outputs and effectively handle the nonlinearities of the wind energy conversion system.

ADVANCED TECHNOLOGIES FOR HUMANITY (2022)

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Review Computer Science, Interdisciplinary Applications

Recent Trends of Control Strategies for Doubly Fed Induction Generator Based Wind Turbine Systems: A Comparative Review

Shivaji Karad et al.

Summary: In wind power generation systems, there is a strong expectation to harness maximum power and maintain good interaction with the grid. Enhanced control strategies are necessary to meet the increasing power demand and improve system stability and efficiency. Researchers are continuously working on addressing challenges in wind energy conversion schemes to enhance their operation.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

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Article Engineering, Multidisciplinary

Elephant herding algorithm-based optimal PI controller for LVRT enhancement of wind energy conversion systems

Mohamed F. El-Naggar et al.

Summary: This study introduces an optimal PI controller optimized by elephant herding algorithm for grid-tied switched reluctance generator to enhance low voltage ride through capability during faulty conditions. The optimized controller regulates the off-delay angle of the generator to maintain voltage within acceptable limits at the connection point, ensuring compliance with grid codes. Comparison with other optimization techniques shows the effectiveness of the EHA method.

AIN SHAMS ENGINEERING JOURNAL (2021)

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Review Thermodynamics

Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine

Bahia Kelkoul et al.

Summary: This paper discusses the modeling and control of stator active and reactive power for a doubly fed induction generator under wind turbine systems using the Super Twisting Sliding Mode Controller. By comparing two nonlinear control methods, it is found that the Super Twisting Sliding Mode Controller is more effective and robust in power reference tracking and against machine parameters variations.

ENERGY (2021)

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Article Energy & Fuels

PSO Self-Tuning Power Controllers for Low Voltage Improvements of an Offshore Wind Farm in Taiwan

Yu-Hsiang Hung et al.

Summary: A de-loaded real power control strategy is proposed to improve the voltage profile of a grid-connected offshore wind farm during grid faults. A self-tuning controller based on particle swarm optimization is used to adapt the controller gains for better dynamic voltage response. Digital simulations validate the effectiveness of the proposed controller in meeting low voltage ride through requirements.

ENERGIES (2021)

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Article Automation & Control Systems

Local Stabilization of Continuous-Time T-S Fuzzy Systems With Partly Measurable Premise Variables and Time-Varying Delay

Yue Wu et al.

Summary: This paper investigates the local stabilization problem for T-S fuzzy systems with partly measurable premise variables and time-varying delay. A novel output feedback controller scheme is proposed using the measurable premise variables, and the system state can be contained into a prespecified area by restricting the reachable set to an ellipsoid set. The new asynchronous controller strategy can make less conservative results by utilizing the information of the measurable premise variables and deviation caused by network delay.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

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Review Engineering, Electrical & Electronic

State of the art perturb and observe MPPT algorithms based wind energy conversion systems: A technology review

Hossam H. H. Mousa et al.

Summary: This article provides an overview of wind energy conversion system configurations and various maximum power point tracking algorithms, comparing their advantages and disadvantages, focusing on the perturb and observe algorithm, and proposing future directions for development.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Energy & Fuels

Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile

Hamid Chojaa et al.

Summary: A robust integral sliding mode control (ISMC) with Lyapunov function was proposed for controlling the active and reactive powers of a doubly fed induction generator (DFIG) based wind turbine, achieving high dynamic performances. Through a robust MPPT algorithm with mechanical speed control and artificial Neural Network Controller (ANNC), the system operated around an optimal rotational speed to extract maximum power. The effectiveness and robustness of the control methods were demonstrated through testing in MATLAB/Simulink environment, showing superior performance in dynamic response, total harmonic distortion, reference tracking ability, etc.

ENERGY REPORTS (2021)

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Article Automation & Control Systems

An adaptive smooth second-order sliding mode repetitive control method with application to a fast periodic stamping system

Chao Jia et al.

Summary: The paper proposes an adaptive smooth second-order sliding mode repetitive control method for nonlinear systems with unknown disturbances and uncertainties, which can handle both periodic and aperiodic disturbances. Compared with pure sliding mode control, this method is particularly suitable for systems with sudden periodic disturbances, resulting in smaller error levels.

SYSTEMS & CONTROL LETTERS (2021)

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Article

Performance improvement of the variable speed wind turbine driving a DFIG using nonlinear control strategies

Chojaa Hamid et al.

International Journal of Power Electronics and Drive Systems (2021)

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Article Computer Science, Information Systems

Application of SMES Technology in Improving the Performance of a DFIG-WECS Connected to a Weak Grid

A. M. Shiddiq Yunus et al.

Summary: This paper proposes a method to improve the overall performance of WTGs using SMES technology and fuzzy logic controller, achieving energy exchange control through hysteresis current and fuzzy logic control system.

IEEE ACCESS (2021)

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Article Engineering, Electrical & Electronic