Wind turbine control systems serve as the central intelligence of each turbine, managing functions such as blade pitch, yaw adjustments, energy conversion, and fault detection.What is SMart Wind Technology?To address these challenges, an intelligent control system that Smart Wind technologies has been proposed. The system utilizes a network of sensors and IoT devices to collect real-time data on wind speed, temperature, humidity, and other relevant parameters. Access to this full-text is provided by EDP Sciences. This content is subject to copyright.
Can a hybrid controller improve the performance of a PMSG-based wind turbine?In this paper, the proposed WTPGS system is designed in MATLAB/Simulink software where a hybrid controller (ANFIS-PI) is implemented in the machine-side converter (MSC) and grid-side converter (GSC) of a variable speed PMSG-based wind turbine to enhance its performance subjected to wind variations.
Can a permanent magnet synchronous generator be used as a hybrid controller?This paper introduces a novel hybrid controller designed for a wind turbine power generation system (WTPGS) that utilizes a permanent magnet synchronous generator (PMSG). This hybrid controller combines the adaptability of an adaptive neuro-fuzzy inference system (ANFIS) with the simplicity of a proportional-integral (PI) controller.
Can DFIG-based wind turbines improve transient stability during weak grid faults?Optimized Design of Demagnetization Control for DFIG-Based Wind Turbines to Enhance Transient Stability During Weak Grid Faults. IEEE Transactions on Power Electronics, 1–5. doi: 10.1109/TPEL.2024.3457528. Chhipa, A. et al. Rajkumar Soni, and Tulika Chakrabarti.
Does a PI controller stabilize the rotor speed of a wind turbine?In Figure 10, the performance of the wind turbine model’s rotor speed is showcased over time, comparing the performance of both the PI and hybrid controllers. Initially, the PI controller effectively stabilizes the rotor speed within the first 10 seconds of simulation.
What are some examples of intelligent control mechanisms?They also compared hybrid solar PV and wind turbines. Artificial neural networks, fuzzy inference systems, fuzzy logic, and neuro-fuzzy are examples of intelligent control mechanisms that have been implemented in numerous scientific and technology domains as convincing alternatives to the tradition
Jun 1, 2025 · In recent years, the use of Machine Learning (ML) techniques and Artificial Intelligence (AI) in the O&M and overall improvement of energy systems has been trending,
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Oct 26, 2023 · Coordinated wake control within existing wind farms holds immense potential for maximizing overall power generation and currently
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The intelligent control system for wind turbine farms using IoT and ML technologies has the potential to significantly improve the efficiency and reliability of wind energy generation, while
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Jan 17, 2017 · An intelligent wind power smoothing control using recurrent fuzzy neural network (RFNN) is proposed in this study. First, the modeling of wind
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Dec 3, 2024 · It maximizes the wind power thus minimizing stress on the storage system. For storage, batteries are important in isolated renewable energy systems due the interminent
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Sep 5, 2022 · Such resource combinations into the existing smart grid system cause open-ended problems regarding the security and reliability of power
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Nov 1, 2012 · In these systems, the variable-speed generation system is more attractive than the fixed speed system because of the improvement in wind energy production and the reduction
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Feb 17, 2025 · Abstract This scholarly paper offers a wind power generation system (WPGS) that utilizes a configuration of parallel five-phase permanent magnet synchronous generators
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Oct 26, 2023 · The system marks the first-ever implementation of large-scale offshore wind farm wake optimization control technology and has received
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The PES employed in the wind power generation (WPG) system can effectively face the challenges of grid connection requirements (GCRs). Computational intelligence (CI)
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Jul 2, 2025 · This research develops a novel control approach for improving voltage stability and maximizing power extraction in Brushless Doubly Fed Induction Generator (DFIG) based Wind
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Feb 15, 2023 · Large-scale expansion of wind-power generation hinges on optimized control and operation of wind turbines and power systems — which,
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The intelligent control system utilizes a network of sensors and IoT devices to collect real-time data on wind speed, temperature, humidity, and other relevant parameters. [2] The data is
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Jan 16, 2025 · This study proposes an innovative approach to integrating hybrid photovoltaic (PV) and wind energy systems into the electrical grid using an Adaptive Neuro-Fuzzy Inference
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This paper reviews advancements in intelligent control systems, notably those proposed by Smart Wind technologies. These systems leverage a network of sensors and IoT devices to gather
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Oct 24, 2019 · Applications of artificial intelligent algorithms in wind farm controllers, Mach number, wind speed prediction, wind power prediction and other problems of wind farms are
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Feb 10, 2025 · It highlights the advantages of intelligent control strategies over traditional control methods in mitigating the challenges posed by system non-linearities.
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May 15, 2023 · To address these challenges, an intelligent control system that Smart Wind technologies has been proposed. The system utilizes a network of
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Apr 24, 2025 · This chapter presents a sensorless control technique of wind speed for controlling wind-driven doubly fed induction generators (DFIGs) energy systems. A concept behind this
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Wind power generation is defined as the conversion of wind energy into electrical energy using wind turbines, often organized in groups to form wind farms, which provides a clean and
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Oct 22, 2023 · The intelligent control system for wind turbine farms using IoT and ML technologies has the potential to significantly improve the efficiency and reliability of wind energy
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Aug 21, 2022 · Wind power generation technology, as one of the methods of utilizing wind energy, has become increasingly mature, and its economic benefits have approached those of
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Feb 1, 2025 · The study''s key discoveries include the construction of an autonomous model with intelligent control methodologies, as well as a dynamic framework for a hybrid renewable
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Nov 1, 2020 · This review paper presents a detailed review of the various operational control strategies of WTs, the stall control of WTs and the role of power electronics in wind system
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Aug 21, 2022 · Wind power generation technology, as one of the methods of utilizing wind energy, has become increasingly mature, and its economic benefits have approached thos
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Jul 14, 2022 · Optimized software models have been developed for forecasting power generation in WT systems, but the accuracy is reduced due to erratic and turbulent wind conditions.
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The Problem: Challenges in Wind Farms Monitoring and Control Systems When it comes to wind power generation, there are many challenges that researchers are faced with when developing
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Jun 1, 2010 · To achieve maximum power point tracking (MPPT) for wind power generation systems, the rotational speed of wind turbines should be adjusted in real tim
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Feb 3, 2023 · As grid-connected wind farms become more common in the modern power system, the question of how to maximize wind power generation while
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Sep 18, 2024 · Abstract This paper introduces a novel hybrid controller designed for a wind turbine power generation system (WTPGS) that utilizes a permanent magnet synchronous
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May 13, 2025 · Abstract This study designed and implemented an intelligent wind-powered water pumping and electricity generation system based on a microcontroller. The system utilizes
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May 13, 2025 · This study designed and implemented an intelligent wind-powered water pumping and electricity generation system based on a microcontroller. The system utilizes optimized
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May 18, 2023 · Type-2 fuzzy systems have been widely applied in the fields of intelligent control, pattern recognition and classification, among others. The
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May 21, 2025 · This evolution calls for next-generation wind turbine control systems—a fusion of intelligent automation, digitalization, and adaptive control technologies. Wind turbine control
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Jan 1, 2022 · The results show that the scheme can improve the intelligence of the wind power generation control system, and improve the productivity and benefit of the wind power
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Feb 3, 2023 · Abstract and Figures As grid-connected wind farms become more common in the modern power system, the question of how to maximize wind
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To address these challenges, an intelligent control system that Smart Wind technologies has been proposed. The system utilizes a network of sensors and IoT devices to collect real-time data on wind speed, temperature, humidity, and other relevant parameters. Access to this full-text is provided by EDP Sciences. This content is subject to copyright.
In this paper, the proposed WTPGS system is designed in MATLAB/Simulink software where a hybrid controller (ANFIS-PI) is implemented in the machine-side converter (MSC) and grid-side converter (GSC) of a variable speed PMSG-based wind turbine to enhance its performance subjected to wind variations.
This paper introduces a novel hybrid controller designed for a wind turbine power generation system (WTPGS) that utilizes a permanent magnet synchronous generator (PMSG). This hybrid controller combines the adaptability of an adaptive neuro-fuzzy inference system (ANFIS) with the simplicity of a proportional-integral (PI) controller.
Optimized Design of Demagnetization Control for DFIG-Based Wind Turbines to Enhance Transient Stability During Weak Grid Faults. IEEE Transactions on Power Electronics, 1–5. doi: 10.1109/TPEL.2024.3457528. Chhipa, A. et al. Rajkumar Soni, and Tulika Chakrabarti.
In Figure 10, the performance of the wind turbine model’s rotor speed is showcased over time, comparing the performance of both the PI and hybrid controllers. Initially, the PI controller effectively stabilizes the rotor speed within the first 10 seconds of simulation.
They also compared hybrid solar PV and wind turbines. Artificial neural networks, fuzzy inference systems, fuzzy logic, and neuro-fuzzy are examples of intelligent control mechanisms that have been implemented in numerous scientific and technology domains as convincing alternatives to the traditional.
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