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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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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
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Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

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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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Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Generator Voltage Control01:21

Generator Voltage Control

202
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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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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Related Experiment Video

Updated: Jul 30, 2025

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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An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer.

Yuqian Tian1, Dazhi Wang1, Guolin Zhou1

  • 1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

Entropy (Basel, Switzerland)
|May 16, 2023
PubMed
Summary

This study introduces a novel hybrid model for wind power forecasting, improving accuracy by combining improved variational mode decomposition (IVMD) and fuzzy entropy (FE) with an adaptive Informer model. The new method enhances prediction stability and reliability for wind energy systems.

Keywords:
Informeradaptive loss functionfuzzy entropyimproved variational mode decompositionwind power prediction

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Area of Science:

  • Renewable Energy Systems
  • Artificial Intelligence in Energy
  • Signal Processing for Power Systems

Background:

  • Accurate wind power prediction is crucial for grid stability and maximizing renewable energy utilization.
  • Traditional models using mean square error (MSE) struggle with the inherent non-stationarity and random fluctuations in wind power data.
  • Existing prediction methods often fail to capture complex data characteristics, leading to significant prediction errors.

Purpose of the Study:

  • To propose a novel hybrid model, IVMD-FE-Ad-Informer, for enhanced wind power prediction.
  • To address the limitations of MSE loss functions in handling non-stationary and fluctuating wind data.
  • To improve the accuracy and robustness of wind power forecasting systems.

Main Methods:

  • Decomposition of original wind power data into K subsequences using improved variational mode decomposition (IVMD).
  • Reconstruction of decomposed sub-series into new elements based on fuzzy entropy (FE) analysis.
  • Prediction of reconstructed elements using an adaptive Informer model (Ad-Informer) with a novel adaptive loss function.
  • Superposition of individual element predictions to generate the final wind power forecast.

Main Results:

  • The proposed IVMD-FE-Ad-Informer model demonstrated superior performance and accuracy compared to existing models on real-world datasets from China and Spain.
  • The model effectively handled data with random fluctuations and non-stationarity, outperforming traditional MSE-based approaches.
  • Validation on diverse datasets confirmed the model's robustness and generalizability for practical wind power prediction.

Conclusions:

  • The IVMD-FE-Ad-Informer model offers a significant advancement in wind power forecasting accuracy and reliability.
  • The integration of IVMD, FE, and an adaptive Informer model provides a robust solution for complex wind energy data.
  • This hybrid approach effectively meets the demands of actual wind power prediction, contributing to grid stability and renewable energy integration.