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Related Concept Videos

Generation of Three-Phase Voltage01:21

Generation of Three-Phase Voltage

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A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
As the rotor...
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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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Generator Voltage Control01:21

Generator Voltage Control

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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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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...
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The Swing Equation01:21

The Swing Equation

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The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
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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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A two-stage subsynchronous oscillation assessment method for DFIG-based wind farm grid-connected system.

Ge Liu1,2, Jun Liu3, Andong Liu1

  • 1College of Automation, Xi'an University of Technology, Xi'an, 710048, China.

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|September 27, 2024
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Summary

This study introduces a novel method to accurately evaluate Subsynchronous Oscillation (SSO) in power systems with Doubly-Fed Induction Generators (DFIGs). The technique enhances grid stability by precisely identifying and mitigating SSO, improving power system reliability.

Keywords:
DFIG-based wind farmInterference level classificationLFF-transformerSSO modal parameter estimationTwo-stage SSO assessment methodUCB-DDQN

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis
  • Renewable Energy Integration

Background:

  • Doubly-Fed Induction Generators (DFIGs) in wind farms can induce Subsynchronous Oscillation (SSO), threatening power grid stability.
  • Accurate evaluation of SSO is crucial for maintaining grid reliability and preventing potential disruptions.

Purpose of the Study:

  • To propose and validate a new, accurate method for evaluating SSO in power systems with DFIGs.
  • To enhance the stability of power grids by effectively identifying and mitigating SSO events.

Main Methods:

  • Utilized a classification model combining Upper Confidence Bound (UCB) and Double Deep Q Network (DDQN) to identify interference levels in Phasor Measurement Unit (PMU) data.
  • Developed a Local Feature Fusion Transformer (LFF-Transformer) network for SSO parameter estimation, tailored to data with varying interference levels.

Main Results:

  • Achieved low error rates: eRMSE-f (0.001), EMAPE-F (0.003), eRMSE-δ (0.009), and EMAPE-δ (0.015).
  • Demonstrated significantly faster training (90s) and testing (18s) times compared to Multi-SVR and Multi-CNN methods.
  • Post-application improvements included reduced frequency deviation (0.05 to 0.02 Hz), voltage deviation (3.5% to 1.5%), power fluctuation (10 to 5 MW), SSO frequency (<0.5 Hz), and increased SSO damping ratio (0.08 to 0.15).

Conclusions:

  • The proposed evaluation method effectively enhances power grid stability by accurately assessing and managing SSO.
  • The LFF-Transformer based approach offers a computationally efficient and accurate solution for SSO analysis in DFIG-based wind power systems.