Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition

The key issue with the conventional maximum power point tracking algorithms is the system efficiency in partial shaded conditions due to the presence of local maxima points on the power-voltage curve. This thesis proposes a new integration of Cuckoo Search maximum power point tracking algorithm and...

Full description

Saved in:

Bibliographic Details
Main Author:	Lourdes, Jotham Jeremy
Format:	Thesis
Language:	English
Published:	2021
Subjects:	T Technology
Online Access:	http://eprints.usm.my/56103/1/Cuckoo%20Search%20Algorithm-Based%20Zeta%20Converter%20In%20A%20Photovoltaic%20System%20Under%20Partial%20Shading%20Condition.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.56103
record_format	uketd_dc
spelling	my-usm-ep.561032022-12-22T07:22:45Z Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition 2021-05-01 Lourdes, Jotham Jeremy T Technology TK Electrical Engineering. Electronics. Nuclear Engineering The key issue with the conventional maximum power point tracking algorithms is the system efficiency in partial shaded conditions due to the presence of local maxima points on the power-voltage curve. This thesis proposes a new integration of Cuckoo Search maximum power point tracking algorithm and Zeta converter in a photovoltaic system where it highlights an improvement of output power efficiency and maximum power point tracking time, as well as reduction of output power ripple. To validate the effectiveness of the work, a Cuckoo Search maximum power point tracking model was constructed in MATLAB Simulink using various irradiance patterns for Zeta converter. In Zeta converter, the output power ripple has been reduced by 2.92 %, thus improving the output power efficiency by 1.25 %. The maximum power point tracking time has been reduced by 14 % compared to that in buck-boost. In addition, the effect of having more eggs (solution) in the Cuckoo Search algorithm was also investigated for both Zeta and Buck-boost converters to study its impact on the maximum power point tracking accuracy. At Pattern 4, the maximum output power of the photovoltaic system in this work is 523.97 W. The proposed integration is able to gain input power 523.4 W and output power of 493.2 W, which are 99.89 % and 94.13 % of the maximum power respectively. With conventional integration, the system is only able to gain 516.0 W input power and 469.1 W output power, which are 98.47 % and 89.52 % of maximum power. 2021-05 Thesis http://eprints.usm.my/56103/ http://eprints.usm.my/56103/1/Cuckoo%20Search%20Algorithm-Based%20Zeta%20Converter%20In%20A%20Photovoltaic%20System%20Under%20Partial%20Shading%20Condition.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology T Technology
spellingShingle	T Technology T Technology Lourdes, Jotham Jeremy Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
description	The key issue with the conventional maximum power point tracking algorithms is the system efficiency in partial shaded conditions due to the presence of local maxima points on the power-voltage curve. This thesis proposes a new integration of Cuckoo Search maximum power point tracking algorithm and Zeta converter in a photovoltaic system where it highlights an improvement of output power efficiency and maximum power point tracking time, as well as reduction of output power ripple. To validate the effectiveness of the work, a Cuckoo Search maximum power point tracking model was constructed in MATLAB Simulink using various irradiance patterns for Zeta converter. In Zeta converter, the output power ripple has been reduced by 2.92 %, thus improving the output power efficiency by 1.25 %. The maximum power point tracking time has been reduced by 14 % compared to that in buck-boost. In addition, the effect of having more eggs (solution) in the Cuckoo Search algorithm was also investigated for both Zeta and Buck-boost converters to study its impact on the maximum power point tracking accuracy. At Pattern 4, the maximum output power of the photovoltaic system in this work is 523.97 W. The proposed integration is able to gain input power 523.4 W and output power of 493.2 W, which are 99.89 % and 94.13 % of the maximum power respectively. With conventional integration, the system is only able to gain 516.0 W input power and 469.1 W output power, which are 98.47 % and 89.52 % of maximum power.
format	Thesis
qualification_level	Master's degree
author	Lourdes, Jotham Jeremy
author_facet	Lourdes, Jotham Jeremy
author_sort	Lourdes, Jotham Jeremy
title	Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
title_short	Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
title_full	Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
title_fullStr	Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
title_full_unstemmed	Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
title_sort	cuckoo search algorithm-based zeta converter in a photovoltaic system under partial shading condition
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik & Elektronik
publishDate	2021
url	http://eprints.usm.my/56103/1/Cuckoo%20Search%20Algorithm-Based%20Zeta%20Converter%20In%20A%20Photovoltaic%20System%20Under%20Partial%20Shading%20Condition.pdf
_version_	1776101132479758336

Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition

Similar Items