Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system

Currently, the solar PV power extraction technology is undergoing significant improvement. Towards this, the paper proposed the design for a photovoltaic (PV) array and the output performance of a photovoltaic system under the influence of irradiance. To achieve this, the design for improved increme...

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Main Authors: Ramizi Mohamed, Abutaima, Khaleel Abed
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/21111/1/Jk_10.pdf
http://journalarticle.ukm.my/21111/
https://www.ukm.my/jkukm/volume-3406-2022/
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.211112023-02-14T04:54:20Z http://journalarticle.ukm.my/21111/ Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system Ramizi Mohamed, Abutaima, Khaleel Abed Currently, the solar PV power extraction technology is undergoing significant improvement. Towards this, the paper proposed the design for a photovoltaic (PV) array and the output performance of a photovoltaic system under the influence of irradiance. To achieve this, the design for improved incremental and conductance fast tracking INC -FI based MPPT technique for solar PV system has been presented. The purpose of employing the improved INC -FI technique is to improve the efficiency of the system. The accuracy and performance of the proposed INC -FI method was increased due to its better tracking capability by utilizing variable ΔD for tracking the MPP in comparison to the conventional INC method at variable temperature while keeping the irradiance constant. Further, the results of the proposed method were compared with the conventional method where the INC -FI based technique outperforms the conventional INC method in terms of better accuracy. For the irradiance with 800w/m2, the achieved MPPT efficiency was 58.21 for conventional method and 80.53 for the improved technique. It was also noted that the tracking efficiency of the conventional method was 84.39 as compared to 99.92 for the proposed INC -FI technique in terms of MPPT efficiency at the irradiance of 1000w/m2. Furthermore, the improved method delivered fast tracking ability of the MPPT system with a time of less than 10 s(approx.). The MATLAB Simulink platform was utilized for designing the proposed technique. In future, the proposed INC based technique would be implemented on hardware for better outcomes and validation Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/21111/1/Jk_10.pdf Ramizi Mohamed, and Abutaima, Khaleel Abed (2022) Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system. Jurnal Kejuruteraan, 34 (6). pp. 1093-1104. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3406-2022/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Currently, the solar PV power extraction technology is undergoing significant improvement. Towards this, the paper proposed the design for a photovoltaic (PV) array and the output performance of a photovoltaic system under the influence of irradiance. To achieve this, the design for improved incremental and conductance fast tracking INC -FI based MPPT technique for solar PV system has been presented. The purpose of employing the improved INC -FI technique is to improve the efficiency of the system. The accuracy and performance of the proposed INC -FI method was increased due to its better tracking capability by utilizing variable ΔD for tracking the MPP in comparison to the conventional INC method at variable temperature while keeping the irradiance constant. Further, the results of the proposed method were compared with the conventional method where the INC -FI based technique outperforms the conventional INC method in terms of better accuracy. For the irradiance with 800w/m2, the achieved MPPT efficiency was 58.21 for conventional method and 80.53 for the improved technique. It was also noted that the tracking efficiency of the conventional method was 84.39 as compared to 99.92 for the proposed INC -FI technique in terms of MPPT efficiency at the irradiance of 1000w/m2. Furthermore, the improved method delivered fast tracking ability of the MPPT system with a time of less than 10 s(approx.). The MATLAB Simulink platform was utilized for designing the proposed technique. In future, the proposed INC based technique would be implemented on hardware for better outcomes and validation
format Article
author Ramizi Mohamed,
Abutaima, Khaleel Abed
spellingShingle Ramizi Mohamed,
Abutaima, Khaleel Abed
Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
author_facet Ramizi Mohamed,
Abutaima, Khaleel Abed
author_sort Ramizi Mohamed,
title Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
title_short Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
title_full Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
title_fullStr Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
title_full_unstemmed Design of improved incremental conductance with fast intelligent (FI) based MPPT technique for solar PV system
title_sort design of improved incremental conductance with fast intelligent (fi) based mppt technique for solar pv system
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/21111/1/Jk_10.pdf
http://journalarticle.ukm.my/21111/
https://www.ukm.my/jkukm/volume-3406-2022/
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