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Related Concept Videos

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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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.
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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...
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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,...
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In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
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Load-frequency control01:28

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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...
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control.

Ziyad A Alrowaili1, Mustafa M Ali2, Abdelraheem Youssef3

  • 1Department of Physics, College of Science, Jouf University, Sakaka P.O. Box 2014, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 10, 2021
PubMed
Summary

This study introduces an adaptive hill-climbing search (AD-HCS) technique for wind energy conversion systems (WECS). The new method improves maximum power point tracking (MPPT) efficiency and reduces power fluctuations.

Keywords:
HCSMRACPIDWECSdynamic step size

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Area of Science:

  • Renewable Energy Systems
  • Control Engineering
  • Electrical Engineering

Background:

  • Wind energy conversion systems (WECS) require efficient maximum power point tracking (MPPT) to capture available energy.
  • Conventional hill-climbing search (HCS) MPPT techniques face challenges with step-size selection, impacting dynamic performance.
  • Limitations in existing HCS methods lead to suboptimal tracking speed, power fluctuations, and reduced system efficiency.

Purpose of the Study:

  • To propose a novel adaptive hill-climbing search (AD-HCS) technique for enhanced MPPT in WECS.
  • To address the limitations of fixed step-size selection in traditional HCS methods.
  • To improve the overall dynamic performance and efficiency of WECS.

Main Methods:

  • Developed an AD-HCS technique utilizing model reference adaptive control (MRAC) with a PID controller.
  • Implemented a self-adjustable step-size mechanism based on detected mechanical power fluctuations.
  • Optimized PID gains dynamically to achieve optimal tracking conditions and harvest maximum power.

Main Results:

  • The proposed AD-HCS technique demonstrated reduced oscillations around the maximum power point (MPP).
  • Achieved a smaller settling time compared to conventional and recent HCS techniques.
  • Reported a 5% and 2% increase in WECS efficiency over conventional and recent HCS methods, respectively.

Conclusions:

  • The AD-HCS technique effectively enhances MPPT performance in WECS.
  • The MRAC-based adaptive step-size control offers superior tracking accuracy and efficiency.
  • Validated the AD-HCS technique on a 1.5 MW grid-tied DFIG-based WECS using MATLAB/Simulink.