Control of a Variable Speed wind Energy System for Maximum Power Using Genetic Algorithm

Authors

  • Khaled Zidan Damascus University
  • Hasan Boushea Damascus University

Keywords:

نظام تحويل طاقة الرياح متغير السرعة VWST، المولد التزامني ذو المغناطيس الدائم PMSG، متحكم تقليدي PI، الخوارزمية الجينيةGA .

Abstract

This paper presents a strategy of variable speed wind turbine connected to a permanent magnet synchronous generator; the goal is to get the most possible wind turbines.

We used a wind energy conversion system model consisting of a wind turbine, permanent magnet synchronous generator, rectifier, buck-boost chopper, inverter, load, and traditional controller PI to stabilize the voltage obtained from the wind turbine and synchronous generator at a variable wind speed.

Then we used one of the artificial intelligence techniques represented by the genetic algorithm to get the maximum possible wind turbine.

The traditional controller PI and the genetic algorithm we modeled using the Matlab R2014a program and from it we obtained the advantages of mechanical power for wind turbine and determined maximum power points at each wind speed.

Author Biographies

Khaled Zidan, Damascus University

Associate Professor, Department of Electric Power Engineering, Faculty of Mechanical and Electrical Engineering

Hasan Boushea, Damascus University

Postgraduate student(Master), Department of Electric Power Engineering, Faculty of Mechanical and Electrical Engineering

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Published

2020-12-02

How to Cite

1.
زيدان خ, بوشيه ح. Control of a Variable Speed wind Energy System for Maximum Power Using Genetic Algorithm. Tuj-eng [Internet]. 2020Dec.2 [cited 2025Jul.29];42(5). Available from: https://journal.latakia-univ.edu.sy/index.php/engscnc/article/view/10121

Issue

Vol. 42 No. 5 (2020): Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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Copyright (c) 2020 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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