Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms

This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms such as particle swa...

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Main Authors: Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Mechhoud El-Arkam, Bendib Riad
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/29/1/7
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author Chetioui Lotfi
Zennir Youcef
Arabi Marwa
Horst Schulte
Mechhoud El-Arkam
Bendib Riad
author_facet Chetioui Lotfi
Zennir Youcef
Arabi Marwa
Horst Schulte
Mechhoud El-Arkam
Bendib Riad
author_sort Chetioui Lotfi
collection DOAJ
description This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms such as particle swarm optimization algorithms (PSO), Harris hawk optimization (HHO), and salp swarm algorithm (SSA) to optimize the speed sensor. The simulation results indicated that the MPPT method with the proposed optimized sensor could generate optimum rotor speed to achieve maximum power output. The simulation was developed using Matlab/Simulink.
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spelling doaj.art-89e6635543ab4502995d3e9ff290697b2023-11-18T10:15:25ZengMDPI AGEngineering Proceedings2673-45912023-01-01291710.3390/engproc2023029007Optimization of a Speed Controller of a WECS with Metaheuristic AlgorithmsChetioui Lotfi0Zennir Youcef1Arabi Marwa2Horst Schulte3Mechhoud El-Arkam4Bendib Riad5LRPCSI Laboratory, Université 20 Aout 1955 Skikda, Skikda 21000, AlgeriaAutomatic Laboratory of Skikda, Université 20 Aout 1955 Skikda, Skikda 21000, AlgeriaAutomatic Laboratory of Skikda, Université 20 Aout 1955 Skikda, Skikda 21000, AlgeriaControl Engineering Group, Department of Engineering, University of Applied Sciences Berlin, 13353 Berlin, GermanyAutomatic Laboratory of Skikda, Université 20 Aout 1955 Skikda, Skikda 21000, AlgeriaAutomatic Laboratory of Skikda, Université 20 Aout 1955 Skikda, Skikda 21000, AlgeriaThis paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms such as particle swarm optimization algorithms (PSO), Harris hawk optimization (HHO), and salp swarm algorithm (SSA) to optimize the speed sensor. The simulation results indicated that the MPPT method with the proposed optimized sensor could generate optimum rotor speed to achieve maximum power output. The simulation was developed using Matlab/Simulink.https://www.mdpi.com/2673-4591/29/1/7WECS-DFIG systemcontrol designmetaheuristic algorithms (PSO, HHO and SSA algorithm)
spellingShingle Chetioui Lotfi
Zennir Youcef
Arabi Marwa
Horst Schulte
Mechhoud El-Arkam
Bendib Riad
Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
Engineering Proceedings
WECS-DFIG system
control design
metaheuristic algorithms (PSO, HHO and SSA algorithm)
title Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
title_full Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
title_fullStr Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
title_full_unstemmed Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
title_short Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
title_sort optimization of a speed controller of a wecs with metaheuristic algorithms
topic WECS-DFIG system
control design
metaheuristic algorithms (PSO, HHO and SSA algorithm)
url https://www.mdpi.com/2673-4591/29/1/7
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