Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions
This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. In partially shaded conditions, maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. The BSA-base...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22348/1/23.%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf http://umpir.ump.edu.my/id/eprint/22348/2/23.1%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf |
| _version_ | 1825812280077451264 |
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| author | Hamdan, Daniyal Meng, Chung Tiong Mohd Herwan, Sulaiman |
| author_facet | Hamdan, Daniyal Meng, Chung Tiong Mohd Herwan, Sulaiman |
| author_sort | Hamdan, Daniyal |
| collection | UMP |
| description | This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. In partially shaded conditions, maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. The BSA-based algorithm, together with well-established PSO and another commonly used hill climbing method, perturb and observe (P&O) were developed and simulated in MATLAB Simulink. All three algorithms were examined under 15 different partial shaded test conditions. In order to further analyze the real time performance of the algorithms, hardware-in-the-loop (HIL) was utilized to emulate the behavior of the power converter while digital signal processor (DSP) was used to realize the MPPT algorithms. From the study, the BSA has shown a faster average convergence speed compared to PSO. It is also shown from the study that the BSA was capable to perform MPP tracking under partially shaded conditions, with the ability to obtain up to 99 % tracking efficiency. |
| first_indexed | 2024-03-06T12:26:49Z |
| format | Conference or Workshop Item |
| id | UMPir22348 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:26:49Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir223482018-12-11T01:17:05Z http://umpir.ump.edu.my/id/eprint/22348/ Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions Hamdan, Daniyal Meng, Chung Tiong Mohd Herwan, Sulaiman TK Electrical engineering. Electronics Nuclear engineering This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. In partially shaded conditions, maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. The BSA-based algorithm, together with well-established PSO and another commonly used hill climbing method, perturb and observe (P&O) were developed and simulated in MATLAB Simulink. All three algorithms were examined under 15 different partial shaded test conditions. In order to further analyze the real time performance of the algorithms, hardware-in-the-loop (HIL) was utilized to emulate the behavior of the power converter while digital signal processor (DSP) was used to realize the MPPT algorithms. From the study, the BSA has shown a faster average convergence speed compared to PSO. It is also shown from the study that the BSA was capable to perform MPP tracking under partially shaded conditions, with the ability to obtain up to 99 % tracking efficiency. Institute of Electrical and Electronics Engineers Inc. 2018-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22348/1/23.%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf pdf en http://umpir.ump.edu.my/id/eprint/22348/2/23.1%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf Hamdan, Daniyal and Meng, Chung Tiong and Mohd Herwan, Sulaiman (2018) Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions. In: 20th European Conference on Power Electronics and Applications, EPE 2018 , 17 - 21 September 2018 , Riga, Latvia. pp. 1-9.. ISBN 978-907581528-3 (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Hamdan, Daniyal Meng, Chung Tiong Mohd Herwan, Sulaiman Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title | Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title_full | Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title_fullStr | Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title_full_unstemmed | Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title_short | Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions |
| title_sort | binary search algorithm based maximum power point tracking for photovoltaic system under partial shaded conditions |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/22348/1/23.%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf http://umpir.ump.edu.my/id/eprint/22348/2/23.1%20Binary%20search%20algorithm-based%20maximum%20power%20point%20tracking.pdf |
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