Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions
This paper presents an approach to determine the maximum power point (MPP) in photovoltaic (PV) system under partial shaded conditions using Binary Search Algorithm (BSA). The BSA perform MPP tracking by changing the search boundaries to eliminate the region where the MPP cannot lie. In this study,...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30339/ http://umpir.ump.edu.my/id/eprint/30339/1/CENCON%202017%20%281%29.pdf |
| _version_ | 1848823487203901440 |
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| author | Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar |
| author_facet | Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar |
| author_sort | Meng Chung, Tiong |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents an approach to determine the maximum power point (MPP) in photovoltaic (PV) system under partial shaded conditions using Binary Search Algorithm (BSA). The BSA perform MPP tracking by changing the search boundaries to eliminate the region where the MPP cannot lie. In this study, the BSA and particle swarm optimization (PSO) based MPPT were developed in Matlab Simulink with a DC/DC boost converter. Both algorithms were simulated under ten different test cases of partial shading conditions to study the accuracy, speed and tracking efficiency. BSA exhibits a fast convergence with zero steady state oscillation along with the capability of performing MPP tracking under partially shaded PV system. |
| first_indexed | 2025-11-15T02:57:55Z |
| format | Conference or Workshop Item |
| id | ump-30339 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:57:55Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-303392020-12-27T07:37:08Z http://umpir.ump.edu.my/id/eprint/30339/ Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar TK Electrical engineering. Electronics Nuclear engineering This paper presents an approach to determine the maximum power point (MPP) in photovoltaic (PV) system under partial shaded conditions using Binary Search Algorithm (BSA). The BSA perform MPP tracking by changing the search boundaries to eliminate the region where the MPP cannot lie. In this study, the BSA and particle swarm optimization (PSO) based MPPT were developed in Matlab Simulink with a DC/DC boost converter. Both algorithms were simulated under ten different test cases of partial shading conditions to study the accuracy, speed and tracking efficiency. BSA exhibits a fast convergence with zero steady state oscillation along with the capability of performing MPP tracking under partially shaded PV system. IEEE 2018-01-19 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30339/1/CENCON%202017%20%281%29.pdf Meng Chung, Tiong and Hamdan, Daniyal and Mohd Herwan, Sulaiman and Mohd Shafie, Bakar (2018) Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions. In: 2017 IEEE Conference on Energy Conversion (CENCON) , 30-31 October 2017 , UTM KL Kampus, Kuala Lumpur, Malaysia. pp. 1-5.. ISBN 978-1-5386-39351 (Published) http://:10.1109/CENCON.2017.8262449 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title | Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title_full | Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title_fullStr | Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title_full_unstemmed | Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title_short | Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| title_sort | binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30339/ http://umpir.ump.edu.my/id/eprint/30339/ http://umpir.ump.edu.my/id/eprint/30339/1/CENCON%202017%20%281%29.pdf |