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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.
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...
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Turbine-Governor Control01:17

Turbine-Governor Control

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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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Load-frequency control01:28

Load-frequency control

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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...
227
Generator Voltage Control01:21

Generator Voltage Control

224
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,...
224
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

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Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
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PD Controller: Design01:26

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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.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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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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A data-driven model-free adaptive controller with application to wind turbines.

M L Corradini1, G Ippoliti2, G Orlando2

  • 1Università di Camerino, 62032 Camerino (MC), Italy.

ISA Transactions
|November 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel data-driven adaptive sliding-mode controller for wind turbine efficiency maximization. The controller ensures performance constraints and stability, validated using the FAST simulation tool.

Keywords:
Data-driven based controlDiscrete time sliding mode controlModel-free adaptive controlPrescribed performance control

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Area of Science:

  • Control Engineering
  • Renewable Energy Systems
  • Adaptive Control Theory

Background:

  • Model-free adaptive control (MFAC) is a key approach for systems lacking precise models.
  • Sliding-mode control (SMC) offers robustness but requires careful design for stability.
  • Optimizing wind turbine operation is crucial for maximizing energy capture.

Purpose of the Study:

  • To develop a data-driven adaptive sliding-mode controller for wind turbines.
  • To ensure prescribed performance constraints are met during operation.
  • To validate the controller's effectiveness in maximizing energy efficiency.

Main Methods:

  • Utilizing a model-free adaptive control framework with an equivalent linearized dynamical model.
  • Designing a data-driven adaptive sliding-mode controller inspired by recent advancements.
  • Redesigning the sliding variable and controller for rigorous stability analysis.
  • Implementing a specific gain setting for the discontinuous term to guarantee stability.

Main Results:

  • The proposed controller successfully addresses the output tracking problem under performance constraints.
  • Stability of the closed-loop system is rigorously analyzed and ensured through proper gain setting.
  • Extensive validation using the NREL's FAST simulation tool demonstrated the approach's efficacy.
  • The controller achieved efficiency maximization for a 5 MW wind turbine in medium wind speeds.

Conclusions:

  • The developed data-driven adaptive sliding-mode controller is effective for wind turbine efficiency optimization.
  • The controller provides a robust and stable solution for tracking problems with performance guarantees.
  • This approach offers a promising method for enhancing renewable energy system performance through advanced control strategies.