Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique
Presently, there has been a significant growth in the solar PV technology due to various factors such as clean technology, zero carbon emission and low maintenance. However, it becomes significant to extract the power in abundance from solar PV system due to its intermittent nature. To extract the s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2023
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| Online Access: | http://journalarticle.ukm.my/22828/1/08.pdf |
| _version_ | 1796933676285558784 |
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| author | Khaleel Abed Abutaima, Ramizi Mohamed, Radin Za’im Radin Umar, Mahidur Rahman Sarker, |
| author_facet | Khaleel Abed Abutaima, Ramizi Mohamed, Radin Za’im Radin Umar, Mahidur Rahman Sarker, |
| author_sort | Khaleel Abed Abutaima, |
| collection | UKM |
| description | Presently, there has been a significant growth in the solar PV technology due to various factors such as clean technology, zero carbon emission and low maintenance. However, it becomes significant to extract the power in abundance from solar PV system due to its intermittent nature. To extract the significant power, a suitable maximum power point tracking (MPPT) technique has been presented. The MPPT technique is developed based on the hybrid fuzzy logic (FL) and improved incremental and conductance (IInC) method. The aim of developing hybrid FL-IInC technique for MPPT is to regulate duty cycle so that maximum power point (MPP) is achieved with stable and accurate outcomes during dynamic and steady state conditions. The IInC method was developed by regulating the duty cycle and step-size. of It was observed that proposed hybrid FL-IInC delivers accurate and stable results as compared with IInC method. During the model testing at the irradiance with 1000w/m2, the achieved MPPT efficiency was 99.96% as compared with the IInC with an outcome of 98.47% for the improved technique. Additionally, the settling time for the proposed hybrid FL-IInC was less compared with the IInC method. All the simulations were conducted with the MATLAB Simulink Platform. In future, the hybrid FL-IInC method can be employed with other conditions such as partial shading for better applicability. |
| first_indexed | 2024-03-06T04:50:52Z |
| format | Article |
| id | ukm.eprints-22828 |
| institution | Universiti Kebangsaan Malaysia |
| language | English |
| last_indexed | 2024-03-06T04:50:52Z |
| publishDate | 2023 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | ukm.eprints-228282024-01-11T01:55:33Z http://journalarticle.ukm.my/22828/ Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique Khaleel Abed Abutaima, Ramizi Mohamed, Radin Za’im Radin Umar, Mahidur Rahman Sarker, Presently, there has been a significant growth in the solar PV technology due to various factors such as clean technology, zero carbon emission and low maintenance. However, it becomes significant to extract the power in abundance from solar PV system due to its intermittent nature. To extract the significant power, a suitable maximum power point tracking (MPPT) technique has been presented. The MPPT technique is developed based on the hybrid fuzzy logic (FL) and improved incremental and conductance (IInC) method. The aim of developing hybrid FL-IInC technique for MPPT is to regulate duty cycle so that maximum power point (MPP) is achieved with stable and accurate outcomes during dynamic and steady state conditions. The IInC method was developed by regulating the duty cycle and step-size. of It was observed that proposed hybrid FL-IInC delivers accurate and stable results as compared with IInC method. During the model testing at the irradiance with 1000w/m2, the achieved MPPT efficiency was 99.96% as compared with the IInC with an outcome of 98.47% for the improved technique. Additionally, the settling time for the proposed hybrid FL-IInC was less compared with the IInC method. All the simulations were conducted with the MATLAB Simulink Platform. In future, the hybrid FL-IInC method can be employed with other conditions such as partial shading for better applicability. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22828/1/08.pdf Khaleel Abed Abutaima, and Ramizi Mohamed, and Radin Za’im Radin Umar, and Mahidur Rahman Sarker, (2023) Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique. Jurnal Kejuruteraan, 35 (5). pp. 1069-1083. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3505-2023/ |
| spellingShingle | Khaleel Abed Abutaima, Ramizi Mohamed, Radin Za’im Radin Umar, Mahidur Rahman Sarker, Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title | Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title_full | Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title_fullStr | Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title_full_unstemmed | Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title_short | Design of fast intelligence hybrid fuzzy logic and improved incremental conductance based MPPT technique |
| title_sort | design of fast intelligence hybrid fuzzy logic and improved incremental conductance based mppt technique |
| url | http://journalarticle.ukm.my/22828/1/08.pdf |
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