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Wind Turbine Machine Models01:24

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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 Control01:17

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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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Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
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What is a Mode?01:07

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The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set.
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Lewis Acids and Bases02:33

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In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
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Base Excision Repair01:54

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Artificial neural network-based adaptive control for a DFIG-based WECS.

ISA transactionsยท2022
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Related Experiment Video

Updated: Feb 3, 2026

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
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PSO-GSA based fuzzy sliding mode controller for DFIG-based wind turbine.

N Bounar1, S Labdai2, A Boulkroune1

  • 1LAJ, University of Jijel, BP98, Ouled Aissa, Jijel, 18000, Algeria.

ISA Transactions
|November 4, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an optimal fuzzy sliding mode control (FSMC) for doubly fed induction generator (DFIG) wind turbines, enhancing power extraction and grid stability. The novel PSO-GSA optimization method minimizes control issues for improved wind energy systems.

Keywords:
DFIGFuzzy systemsGSAHybrid algorithmOptimizationPSOSliding mode control

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Renewable Energy

Background:

  • Doubly fed induction generators (DFIGs) are crucial for wind turbines.
  • Conventional sliding mode control (SMC) suffers from chattering.
  • Grid code compliance requires reactive power regulation.

Purpose of the Study:

  • To develop an optimal fuzzy sliding mode control (FSMC) for DFIG-based wind turbines.
  • To maximize power extraction while maintaining zero stator reactive power.
  • To mitigate chattering and ensure system stability.

Main Methods:

  • Combining SMC with a fuzzy inference system to reduce chattering.
  • Utilizing the Lyapunov approach for stability analysis.
  • Optimizing fuzzy membership functions with a hybrid Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA).

Main Results:

  • The proposed PSO-GSA based FSMC effectively maximizes power extraction.
  • Zero stator reactive power regulation is achieved, meeting grid requirements.
  • The hybrid optimization significantly improves control performance compared to individual algorithms.

Conclusions:

  • The optimal FSMC strategy provides robust and stable control for DFIG wind turbines.
  • The PSO-GSA algorithm offers superior performance in tuning fuzzy parameters.
  • This approach enhances the efficiency and grid integration of wind energy systems.