Design and performance investigation of small-scale wind turbine system based on hybrid excited flux switching machine

Cherif, Habib; Affi, Safa; Hlioui, Sami; Gabsi, Mohamed

doi:10.1109/aset.2019.8871021

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That wind turbine controlled its DC motors rotation using a compulsive effect due to the eddy current on the brass plate connected to the generator. Cherif et al [19], a hybrid excited flux switching generator was used to construct a turbine system. Koetket et al [20], the wind speed is measured by measuring devices on wind turbines and rotating the nacelle in the direction of the wind.…”

Section: Background Studymentioning

confidence: 99%

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Bhandari Abhi,

Kumar Saha,

Tahmidul Kabir

et al. 2023

IJEECS

View full text Add to dashboard Cite

In this paper, with the assistance of some tools and a machine learning model, a smart wind turbine was formed that eliminates some expensive sensors and reduces sensor complexity. Squirrel cage induction generator (SCIG) and six rotor blades make up the proposed design, and depending on the wind's direction, the turbine itself can rotate the rotor hub to produce energy more effectively. Additionally, two stepper motors are coupled to the yaw mechanism with the aid of the rotor hub, and the entire controlling procedure will depend on the direction of the wind. The rotor hub must continuously revolve in the same direction as the wind to maximize wind energy utilization. Additionally, to correctly predict wind degrees, a machine learning model was deployed. Random forest regression was used to train and predict the wind direction. The model is deployed in Raspberry Pi, where the incoming sensor values are being stored. Using the generated data, machine learning model was trained and it can be concluded that the model can potentially replace some of the expensive sensors to reduce cost. The model can be used for similar weather conditions only based on machine learning model and fewer sensors.

show abstract

Section: Background Studymentioning

confidence: 99%

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Bhandari Abhi,

Kumar Saha,

Tahmidul Kabir

et al. 2023

IJEECS

View full text Add to dashboard Cite

show abstract

Parametric Sensitivity Analysis of a hybrid excitation flux switching wind turbine generator

Affi

Cherif

2022

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

View full text Add to dashboard Cite

Overview of Stator Slot-Opening Permanent Magnet Machines

Niu

Wang

Zhao

2023

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

In the past few decades, the stator permanent magnet (PM) machines have attracted much research attention because of their reliable rotor structure, high power density, wide speed range, and strong fault-tolerant ability. Among the recently proposed stator PM machine topologies, the stator slot-opening PM (SS-PM) machines are becoming increasingly popular because of their higher stator space utilization and robust rotor structure. According to the SS-PM magnetization direction, the SS-PM machines can be classified into three categories, namely, the tangentially magnetized stator slot-opening PM (TMSS-PM) machines, the radially magnetized stator slot-opening PM (RMSS-PM) machines, and the compound magnetized stator slot-opening PM (CMSS-PM) machines. The associated working principle and electromagnetic performance of different SS-PM machines can be diverse. Therefore, this paper gives an overview of SS-PM machines in terms of machine design, working principle, and machine performance. A qualitative performance evaluation and comparative study of SS-PM machines are presented, and the future challenges and potential opportunities in the SS-PM machine design are discussed.

show abstract

Design and performance investigation of small-scale wind turbine system based on hybrid excited flux switching machine

Cited by 4 publications

References 9 publications

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

An intelligent wind turbine with yaw mechanism using machine learning to reduce high-cost sensors quantity

Parametric Sensitivity Analysis of a hybrid excitation flux switching wind turbine generator

Overview of Stator Slot-Opening Permanent Magnet Machines

Contact Info

Product

Resources

About