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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Main Authors:	Meng Chung, Tiong, Hamdan, Daniyal, Mohd Herwan, Sulaiman, Mohd Shafie, Bakar, Suliana, Ab Ghani
Format:	Article
Language:	English
Published:	Arqii Publication 2019
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	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

id	ump-27786
recordtype	eprints
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 http://arqiipubl.com/ams
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 Suliana, Ab Ghani A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system
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%.
format	Article
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
title	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_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_sort	real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system
publisher	Arqii Publication
publishDate	2019
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
first_indexed	2023-09-18T22:43:35Z
last_indexed	2023-09-18T22:43:35Z
_version_	1777417076789477376

A real-time simulation platform for maximum power point tracking algorithm study in solar photovoltaic system

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