Optimization Of Maximum Power Point Tracking In Intelligent Iot Networks: A Fuzzy Logic Controller Approach For Wind Energy Conversion Systems

A Fuzzy Logics Controller (FLC) mppt Control regulators is utilised to improve the effectiveness of the standalone wind turbine system (WEHS).Because it may be coupled without a gearbox, the WEHS built on a permanent-magnets synchronous generators (PMSG) is chosen.The difference between the converter's estimated and real dc current is fed into FLC, and the output frequency of a power converter is used as a controller output.A bidirectional buck dc -dc boost with a PI controllers is used to control the charging process of the battery system.The paper presents detailed modelling of the proposed system as well as its control strategies.The Controller can monitor the greatest power in varying wind circumstances.Furthermore, it produces the best results and may be used efficiently in isolated systems.By comparing the FLC approach to the PI control technique in the MATLAB/Simulinks environments the correctness of the FLC technique is validated, and the outcome reveals that FLC outperforms PI.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-11
DOI
https://doi.org/10.53555/ajbr.v27i4s.4845
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization Of Maximum Power Point Tracking In Intelligent Iot Networks: A Fuzzy Logic Controller Approach For Wind Energy Conversion Systems

Tigilu Mitiku Dinku
African Journal of Biomedical Research
Wind Turbine Control Systems
article

Optimization Of Maximum Power Point Tracking In Intelligent Iot Networks: A Fuzzy Logic Controller Approach For Wind Energy Conversion Systems

Tigilu Mitiku Dinku
article en

Abstract

A Fuzzy Logics Controller (FLC) mppt Control regulators is utilised to improve the effectiveness of the standalone wind turbine system (WEHS).Because it may be coupled without a gearbox, the WEHS built on a permanent-magnets synchronous generators (PMSG) is chosen.The difference between the converter's estimated and real dc current is fed into FLC, and the output frequency of a power converter is used as a controller output.A bidirectional buck dc -dc boost with a PI controllers is used to control the charging process of the battery system.The paper presents detailed modelling of the proposed system as well as its control strategies.The Controller can monitor the greatest power in varying wind circumstances.Furthermore, it produces the best results and may be used efficiently in isolated systems.By comparing the FLC approach to the PI control technique in the MATLAB/Simulinks environments the correctness of the FLC technique is validated, and the outcome reveals that FLC outperforms PI.

African Journal of Biomedical Research
Affordable and clean energy
Openalex Percentile: Top 80%
Wind Turbine Control Systems
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