Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System
This paper describes a study in maximum power point tracking (MPPT) technique for photovoltaic (PV) system using binary search algorithm (BSA). The aim of this study is to identify the effectiveness of BSA in performing MPPT under constant irradiance and rapid change irradiance conditions. The BSA M...
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Springer Singapore
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/1/NUSYS_Tiong.pdf |
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ump-277832020-02-24T02:51:50Z http://umpir.ump.edu.my/id/eprint/27783/ Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System Meng, Chung Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper describes a study in maximum power point tracking (MPPT) technique for photovoltaic (PV) system using binary search algorithm (BSA). The aim of this study is to identify the effectiveness of BSA in performing MPPT under constant irradiance and rapid change irradiance conditions. The BSA MPPT model, together with a well-established particle swarm optimization (PSO) algorithm were developed and implemented with a DC-DC boost converter in MATLAB Simulink. Direct control strategy was implemented to simplify the development of the controller which generates the switching duty cycle of the power converter. In order to examine the performance of both algorithms, five different constant irradiance test cases and four rapid changing irradiance test cases were imposed to the PV system to examine the capability of the both algorithms. BSA exhibits a faster convergence speed with zero steady state oscillation. Both of the algorithms have shown the capability to adapt the rapid change irradiance condition effectively with tracking efficiency up to 99%. Springer Singapore 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27783/1/NUSYS_Tiong.pdf Meng, Chung Tiong and Hamdan, Daniyal and Mohd Herwan, Sulaiman and Mohd Shafie, Bakar (2018) Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018.Lecture Notes in Electrical Engineering, 538. pp. 563-570. ISSN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_50 https://doi.org/10.1007/978-981-13-3708-6_50 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Meng, Chung Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| description |
This paper describes a study in maximum power point tracking (MPPT) technique for photovoltaic (PV) system using binary search algorithm (BSA). The aim of this study is to identify the effectiveness of BSA in performing MPPT under constant irradiance and rapid change irradiance conditions. The BSA MPPT model, together with a well-established particle swarm optimization (PSO) algorithm were developed and implemented with a DC-DC boost converter in MATLAB Simulink. Direct control strategy was implemented to simplify the development of the controller which generates the switching duty cycle of the power converter. In order to examine the performance of both algorithms, five different constant irradiance test cases and four rapid changing irradiance test cases were imposed to the PV system to examine the capability of the both algorithms. BSA exhibits a faster convergence speed with zero steady state oscillation. Both of the algorithms have shown the capability to adapt the rapid change irradiance condition effectively with tracking efficiency up to 99%. |
| format |
Article |
| 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 |
| title |
Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| title_short |
Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| title_full |
Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| title_fullStr |
Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| title_full_unstemmed |
Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System |
| title_sort |
investigation of binary search algorithm as maximum power point tracking technique in solar pv system |
| publisher |
Springer Singapore |
| publishDate |
2018 |
| url |
http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/ http://umpir.ump.edu.my/id/eprint/27783/1/NUSYS_Tiong.pdf |
| first_indexed |
2023-09-18T22:43:35Z |
| last_indexed |
2023-09-18T22:43:35Z |
| _version_ |
1777417076505313280 |