Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Generator Voltage Control01:21

Generator Voltage Control

638
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...
638
Turbine-Governor Control01:17

Turbine-Governor Control

933
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
933
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

562
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
562
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

750
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
750
Load-frequency control01:28

Load-frequency control

623
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
623
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

487
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
487

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation.

PloS one·2025
Same author

Optimization of solar water pumping systems through a combined approach based on MPPT-Bat and DTC.

PloS one·2025
Same author

Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles.

PloS one·2024
Same author

Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications.

PloS one·2023
Same author

A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning.

IEEE reviews in biomedical engineering·2020

Related Experiment Video

Updated: Jan 18, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.1K

Performance enhancement of a wind driven PMSG using an artificial neural network based nonlinear backstepping

Abdelfattah Dani1, Zineb Mekrini1, Mhamed El Mrabet1

  • 1Industrial Systems Engineering and Energy Conversion Team, FSTT, Abdelmalek Essaadi University, Tetouan, Morocco.

Plos One
|September 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid control strategy for wind energy conversion systems (WECS) using permanent-magnet synchronous generators (PMSG). The novel approach enhances energy harvesting and reduces current/torque ripples compared to traditional methods.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.2K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.7K

Related Experiment Videos

Last Updated: Jan 18, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.1K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.2K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.7K

Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Control Theory

Background:

  • Growing demand for wind energy necessitates advanced control strategies for efficient power generation.
  • Permanent-magnet synchronous generators (PMSG) are crucial components in modern wind energy conversion systems (WECS).
  • Optimizing control for WECS is vital for grid stability and maximizing energy yield.

Purpose of the Study:

  • To propose a novel hybrid control strategy for PMSG-based WECS.
  • To enhance energy harvesting efficiency under fluctuating wind speeds.
  • To reduce current and torque ripples and improve the total harmonic distortion (THD) of PMSG currents.

Main Methods:

  • A hybrid control strategy combining nonlinear Backstepping approach and artificial neural networks.
  • Lyapunov theory for system stabilization.
  • Implementation and simulation in MATLAB/Simulink for performance validation.

Main Results:

  • Significant reduction in electromagnetic torque ripple ratio from 32.95% to 19.43%.
  • Substantial decrease in stator current Total Harmonic Distortion (THD) from 20.87% to 14.88%.
  • Demonstrated superior performance compared to conventional Field-Oriented Control (FOC).

Conclusions:

  • The proposed hybrid control strategy offers improved reliability and efficiency for WECS.
  • This advanced control method effectively mitigates ripples and THD in PMSG currents.
  • The findings support the practical application of this strategy in real-world WECS.