A Maximum Power Point Tracking Control Method Based on Rotor Speed PDF Shape for Wind Turbines

Zhang, Xinge; Zhang, Zhen; Jia, Junru; Zheng, Liming

doi:10.3390/app12189108

Cited by 12 publications

(6 citation statements)

References 30 publications

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“…The new MPPT control law is intended to make the PDF shape of the rotor speed monitor the desired PDF shape as precisely as achievable. It is used to track the change in wind speed accurately by neglecting the wind speed characteristics [7].…”

Section: Figure 1: Wind Energy Conversion Systemmentioning

confidence: 99%

An Overview of MPPT Techniques in Wind Energy Conversion System

2023

IRJMETS

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Renewable energy resources are alternative approach of fossil fuel resources, which are being continuously available throughout the year. Wind is one of the major fastest growing renewable energy resource which produces large amount of energy. Although wind energy is easily available, the speed of wind is not constant throughout the time. It depends on the region. So, several techniques have been discussed to harness maximum power from wind energy. This paper presents about four types of maximum power point techniques (MPPT) like Optimal torque (OT), Tip Speed Ratio (TSR), Perturb and Observe (P&O) and Fuzzy Logic Control (FLC) used in wind energy conversion system.

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Section: Figure 1: Wind Energy Conversion Systemmentioning

confidence: 99%

An Overview of MPPT Techniques in Wind Energy Conversion System

2023

IRJMETS

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“…Hence, wind power generation systems need to adopt different control methods according to diverse wind speed intervals [17]. In order to extract the maximum energy from the WECS in the MPPT interval where the WECS produces the maximum available wind power, it is necessary to design a maximum power point tracking controller (MPPT) [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Hybrid MPPT Control: P&O and Neural Network for Wind Energy Conversion System

Dahmane,

Boulaoutaq,

Bouachrine

et al. 2023

Journal of Robotics and Control

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In the field of wind turbine performance optimization, many techniques are employed to track the maximum power point (MPPT), one of the most commonly used MPPT algorithms is the perturb and observe technique (PO) because of its ease of implementation. However, the main disadvantage of this method is the lack of accuracy due to fluctuations around the maximum power point. In contrast, MPPT control employing neural networks proved to be an effective solution, in terms of accuracy. The contribution of this work is to propose a hybrid maximum power point tracking control using two types of MPPT control: neural network control (NNC) and the perturbation and observe method (PO), thus the PO method can offer better performance. Furthermore, this study aims to provide a comparison of the hybrid method with each algorithm 𝑃𝑂 and NNC. At the resulting duty cycle of the 2 methods, we applied the combination operation. A DC-DC boost converter is subjected to the hybrid MPPT control. This converter is part of a wind energy conversion system employing a permanent magnet synchronous generator (PMSG). The chain is modeled using MATLAB/Simulink software. The effectiveness of the controller is tested at varying wind speeds. In terms of the Integral time absolute error (ITAE), using the PO technique, the ITAE is 9.72. But, if we apply the suggested technique, it is smaller at 4.55. The corresponding simulation results show that the proposed hybrid method performs best compared to the PO method. Simulation results ensure the performance of the proposed hybrid MPPT control.

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“…Los controles Tip Speed Ratio (TSR) o Hill-climbing searching han sido estudiados con bastante frecuencia (Pande et al, 2021), (Ghoshal et al, 2022), (Zhang et al, 2022), así como también la técnica Integral Sliding Mode Control (SMC) (Chojaa et al, 2021), (Majout et al, 2022).…”

Section: Introductionunclassified

Control inteligente para optimizar la extracción de potencia y reducir vibraciones en sistemas eólicos offshore

Muñoz Palomeque,,

Sierra García,

Santos

2023

XLIV Jornadas De Automática: Libro De Actas: Universidad De Zaragoza, Escuela De Ingeniería Y Arquitectura, 6, 7 Y 8 De Septiem

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En esta investigación se analiza el desempeño de una estrategia de control híbrida en la región de seguimiento del punto de máxima potencia (MPPT), y el efecto en la reducción de vibraciones estructurales en un aerogenerador flotante offshore (FOWT) de 5MW. En estos sistemas eólicos, diferentes fuentes de perturbación influyen en la estabilidad del aerogenerador. Frente a estos elementos que alteran el eficiente funcionamiento del aerogenerador se incluyen la naturaleza no lineal de la máquina, los vientos turbulentos y las olas que alteran la estabilidad estructural del dispositivo. El controlador en este estudio utiliza una red neuronal de base radial (RBNN) adaptable para regular el torque electromagnético, que influye sobre sobre la velocidad y la potencia extraída. Además, este torque es complementado mediante la incorporación de un control PID convencional que se enfoca en reducir el movimiento de la torre. El controlador es optimizado con el uso de un algoritmo genético. El rendimiento del controlador se valida en contraste con el controlador de torque de OpenFast, logrando una energía de salida mayor y a la vez una disminución del efecto de las vibraciones.

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A Maximum Power Point Tracking Control Method Based on Rotor Speed PDF Shape for Wind Turbines

Cited by 12 publications

References 30 publications

An Overview of MPPT Techniques in Wind Energy Conversion System

An Overview of MPPT Techniques in Wind Energy Conversion System

Hybrid MPPT Control: P&O and Neural Network for Wind Energy Conversion System

Control inteligente para optimizar la extracción de potencia y reducir vibraciones en sistemas eólicos offshore

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