Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions

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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Main Authors: Hamdan, Daniyal, Meng, Chung Tiong, Mohd Herwan, Sulaiman
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/22348/
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
id ump-22348
recordtype eprints
spelling ump-223482018-12-11T01:17:05Z 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
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Conference or Workshop Item
author Hamdan, Daniyal
Meng, Chung Tiong
Mohd Herwan, Sulaiman
author_facet Hamdan, Daniyal
Meng, Chung Tiong
Mohd Herwan, Sulaiman
author_sort Hamdan, Daniyal
title 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_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_sort binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22348/
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
first_indexed 2023-09-18T22:33:13Z
last_indexed 2023-09-18T22:33:13Z
_version_ 1777416424537456640

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