Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink

Wind energy is a vital component of sustainable power generation, and modeling wind turbine generators accurately is crucial for optimizing their performance. This project focuses on the optimal modeling of a wind turbine generator using MATLAB SIMULINK, emphasizing key aspects such as MATLAB as a versatile modeling platform, the critical parameter of Tip Speed Ratio (TSR) for determining optimal rotational speed, the significance of modeling Pitch Controller algorithms to regulate blade angles and ensure safe operation, and the consideration of environmental effects, including wind speed, turbulence, and wind direction, to assess their impact on energy production and turbine loads. These elements collectively contribute to the comprehensive understanding and optimal modelling of the 720KW wind turbine systems with pitch controller for enhanced energy efficiency, reliability, and longevity, making this research vital for sustainable wind energy generation.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-11-05
DOI
https://doi.org/10.64388/irev9i5-1711776
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink

Iconic Research and Engineering Journals
Wind Turbine Control Systems
article

Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink

article en

Abstract

Wind energy is a vital component of sustainable power generation, and modeling wind turbine generators accurately is crucial for optimizing their performance. This project focuses on the optimal modeling of a wind turbine generator using MATLAB SIMULINK, emphasizing key aspects such as MATLAB as a versatile modeling platform, the critical parameter of Tip Speed Ratio (TSR) for determining optimal rotational speed, the significance of modeling Pitch Controller algorithms to regulate blade angles and ensure safe operation, and the consideration of environmental effects, including wind speed, turbulence, and wind direction, to assess their impact on energy production and turbine loads. These elements collectively contribute to the comprehensive understanding and optimal modelling of the 720KW wind turbine systems with pitch controller for enhanced energy efficiency, reliability, and longevity, making this research vital for sustainable wind energy generation.

Iconic Research and Engineering JournalsVol. 9(5)
Openalex Percentile: Top 65%
Wind Turbine Control Systems
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