A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system
This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost con...
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| Format: | Article |
| Language: | English |
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Arqii Publication
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27786/ http://umpir.ump.edu.my/id/eprint/27786/1/AMS%2070-382-1-PB%20TMC.pdf |
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| author | Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Suliana, Ab Ghani |
| author_facet | Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Suliana, Ab Ghani |
| author_sort | Meng Chung, Tiong |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost converter were modelled and implemented using Tyhoon HIL-402. For the MPPT controller, a conventional perturb and observe (P&O) and a well-established particle swarm optimization (PSO) based MPPT algorithm are developed and implemented in a digital signal processor. The performance of both algorithms were examined under real-time working condition with 10 different partial shaded test cases. From the study, the P&O shows a faster convergence speed which it can track for maximum power point rapidly up to 0.5070 s compared to the fastest tracking of PSO at 1.3598 s. However, PSO shows a greater capability in tracking for true maximum power point under partial shaded conditions with average output efficiency up to 99.92% compared to P&O which is only 76.76%. |
| first_indexed | 2025-11-15T02:48:19Z |
| format | Article |
| id | ump-27786 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:48:19Z |
| publishDate | 2019 |
| publisher | Arqii Publication |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-277862020-02-13T03:57:17Z http://umpir.ump.edu.my/id/eprint/27786/ A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Suliana, Ab Ghani T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost converter were modelled and implemented using Tyhoon HIL-402. For the MPPT controller, a conventional perturb and observe (P&O) and a well-established particle swarm optimization (PSO) based MPPT algorithm are developed and implemented in a digital signal processor. The performance of both algorithms were examined under real-time working condition with 10 different partial shaded test cases. From the study, the P&O shows a faster convergence speed which it can track for maximum power point rapidly up to 0.5070 s compared to the fastest tracking of PSO at 1.3598 s. However, PSO shows a greater capability in tracking for true maximum power point under partial shaded conditions with average output efficiency up to 99.92% compared to P&O which is only 76.76%. Arqii Publication 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27786/1/AMS%2070-382-1-PB%20TMC.pdf Meng Chung, Tiong and Hamdan, Daniyal and Mohd Herwan, Sulaiman and Mohd Shafie, Bakar and Suliana, Ab Ghani (2019) A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system. Applications of Modelling and Simulation, 3 (2). pp. 111-118. ISSN eISSN 2600-8084. (Published) http://arqiipubl.com/ams |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Meng Chung, Tiong Hamdan, Daniyal Mohd Herwan, Sulaiman Mohd Shafie, Bakar Suliana, Ab Ghani A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title | A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title_full | A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title_fullStr | A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title_full_unstemmed | A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title_short | A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| title_sort | real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/27786/ http://umpir.ump.edu.my/id/eprint/27786/ http://umpir.ump.edu.my/id/eprint/27786/1/AMS%2070-382-1-PB%20TMC.pdf |