Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

Raouf, Amir; Tawfiq, Kotb B.; Eldin, Sayed M.; Youssef, Hossam; El-Kholy, E. E.

doi:10.3390/en16052147

Cited by 17 publications

(4 citation statements)

References 51 publications

(117 reference statements)

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“…A generator that can change its speed and is connected to the grid WECS adhere to the straightforward method of control proposed (Raouf et al 2023) for this kind of system in order to achieve the highest possible output power. When it comes to getting the most power out of a wind turbine, the Maximum Power Point Tracking (MPPT) system is the way to go.…”

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

Design and Analysis of the Chameleon Scheduling Algorithm for Reconfigurable Computing

Saleh Al Ansari,

Hameed Kalifullah

2023

J. Eng., Manag. Inf. Technol.

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Conventional power generation is the source of widespread worry over the depletion of nonrenewable energy sources and the environmental difficulties that this would inevitably cause. As a direct consequence of this, an increasing number of people are gravitating toward renewable energy sources like as photovoltaic boards and wind generators. Wind power is being put to use for a vast array of applications, some of which include the charging of batteries, the pumping of water, the generation of electricity for homes, the heating of swimming pools, the operation of satellite power systems, and many more. However, despite the fact that they do not need any sort of upkeep and do not result in any kind of pollution, their installation costs are high in many different contexts. Wind energy is quickly becoming a more significant contributor to the total installed power capacity around the globe. In the field of wind energy, the PMSG-based wind turbine equipped with a variable-speed and variable-pitch control system are the most common type of wind power generator. This device is capable of operating either independently or while linked to an existing grid. It is necessary to have a complete understanding of the machine's modelling, control, dynamic, and steady-state analyses in order to obtain the maximum possible amount of power from the wind, researchers must make an accurate prediction of the machine's performance in either mode of operation. The complexity of the systems, the sensors required, the speed of combination, the cost, the breadth of effectiveness, the technology employed, and the popularity of the systems all vary. Multiple control computations are performed on the Wind Energy Conversion System (WECS) in order to produce maximum power in a variety of wind speed scenarios. This is done so that the system can respond appropriately. The purpose of this work is to suggest several methodologies for obtaining dynamic features from the WECS integrated grid. The first technique makes use of the Firefly Algorithm (FA) as well as the Artificial Neural Network (ANN) methods. Both are classification algorithms. By utilizing the most effective parameters for design, the design of the grid-integrated power system design was able to achieve a voltage THD of 11.47 percent.

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Section: Wind Energy Conversion Systemmentioning

confidence: 99%

Design and Analysis of the Chameleon Scheduling Algorithm for Reconfigurable Computing

Saleh Al Ansari,

Hameed Kalifullah

2023

J. Eng., Manag. Inf. Technol.

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“…Among other control methods that can be mentioned, achieving the optimal TSR for a specific wind turbine is fixed. Regardless of the wind speed, if the TSR is kept at an optimal level, it guarantees maximum power extraction [29]. Therefore, the method seeks to force the energy conversion system to work at this point.…”

Section: Introductionmentioning

confidence: 99%

Sustainability of the Permanent Magnet Synchronous Generator Wind Turbine Control Strategy in On-Grid Operating Modes

Zishan,

Tightiz,

Yoo

et al. 2023

Energies

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Today, there are a variety of technologies for wind-generating systems, characterized by component complexity and control. Controllers are essential for the sustainability of the output voltage and the optimal speed of the generator. To overcome the problems, the system must use controllers that determine the controllers’ ability relative to each other and ultimately the controller that behaves better. This paper investigates the simulation of a PMSG wind turbine with PI, PID, neutral-point-clamped (NPC) and fuzzy controllers to study performance at different wind speeds as input. The wind energy is converted by the wind turbine and given to the PMSG generator. The PMSG output power is transferred to the power network; in this case, we have modeled the power network with a three-phase load. In order to confirm the performance of the proposed method, a PMSG wind turbine is simulated using MATLAB R2017. The simulation results show that the controllers can adjust the DC link voltage, the active power produced by the wind system.

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“…Por otra parte, enfatizando en las redes neuronales (NN), numerosos trabajos también aplican este enfoque (Karthik et al, 2020), (Raouf et al, 2023). Por mencionar casos específicos, en (Muñoz-Palomeque, et al, 2023) una red neuronal de base radial (RBNN) es aplicada en la regulación del torque del generador para alcanzar la velocidad requerida del sistema eólico; en (Chandrasekaran, et al, 2020) el control de la extracción de máxima potencia es solventado con una NN en cascada, o en (Tidhaf, 2022) una NN es combinada con el método de conductancia incremental para el control MPPT En este artículo, se hace uso de un controlador híbrido para operar en la región MPPT de un aerogenerador flotante de 5MW.…”

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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Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

Cited by 17 publications

References 51 publications

Design and Analysis of the Chameleon Scheduling Algorithm for Reconfigurable Computing

Design and Analysis of the Chameleon Scheduling Algorithm for Reconfigurable Computing

Sustainability of the Permanent Magnet Synchronous Generator Wind Turbine Control Strategy in On-Grid Operating Modes

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

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