Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman

This thesis presents new intelligent-based techniques for sizing and output prediction in grid-connected photovoltaic (GCPV) system. Initially, two intuitive-based sizing algorithms for GCPV system design, termed as Conventional Sizing Algorithm (CSA), were developed based on two design goals. The d...

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Bibliographic Details
Main Author:	Sulaiman, Shahril Irwan
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2012
Subjects:	Malaysia Production of electric energy or power. Powerplants. Central stations
Online Access:	http://ir.uitm.edu.my/id/eprint/19110/ http://ir.uitm.edu.my/id/eprint/19110/1/ABS_SHAHRIL%20IRWAN%20SULAIMAN%20TDRA%20VOL%201%20IGS%2012.pdf

id	uitm-19110
recordtype	eprints
spelling	uitm-191102018-06-11T01:09:08Z http://ir.uitm.edu.my/id/eprint/19110/ Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman Sulaiman, Shahril Irwan Malaysia Production of electric energy or power. Powerplants. Central stations This thesis presents new intelligent-based techniques for sizing and output prediction in grid-connected photovoltaic (GCPV) system. Initially, two intuitive-based sizing algorithms for GCPV system design, termed as Conventional Sizing Algorithm (CSA), were developed based on two design goals. The design goal 1 (DG1) was formulated with the aim to design a system based on a specific solar electricity requirement while the design goal 2 (DG2) dealt with the sizing of the system such that maximum solar electricity can be generated using the available roof space. In addition, each CSA incorporated both technical and economic sizing procedures to provide comprehensive design using a pre-selected set of photovoltaic (PV) module and inverter. It was found that the maximum solar electricity requirement from CSA with DG1 was actually capped to the maximum solar electricity that can be generated from CSA with DG2. Apart from that, a novel Iterative Sizing Algorithm (ISA) was also developed to present an iterative approach towards sizing process when there were numerous sets of PV module and inverter need to be considered. At this stage, a database of PV module and a database of inverter were developed to form possible sizing solutions. Institute of Graduate Studies, UiTM 2012 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19110/1/ABS_SHAHRIL%20IRWAN%20SULAIMAN%20TDRA%20VOL%201%20IGS%2012.pdf Sulaiman, Shahril Irwan (2012) Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 1 (1). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia Production of electric energy or power. Powerplants. Central stations
spellingShingle	Malaysia Production of electric energy or power. Powerplants. Central stations Sulaiman, Shahril Irwan Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
description	This thesis presents new intelligent-based techniques for sizing and output prediction in grid-connected photovoltaic (GCPV) system. Initially, two intuitive-based sizing algorithms for GCPV system design, termed as Conventional Sizing Algorithm (CSA), were developed based on two design goals. The design goal 1 (DG1) was formulated with the aim to design a system based on a specific solar electricity requirement while the design goal 2 (DG2) dealt with the sizing of the system such that maximum solar electricity can be generated using the available roof space. In addition, each CSA incorporated both technical and economic sizing procedures to provide comprehensive design using a pre-selected set of photovoltaic (PV) module and inverter. It was found that the maximum solar electricity requirement from CSA with DG1 was actually capped to the maximum solar electricity that can be generated from CSA with DG2. Apart from that, a novel Iterative Sizing Algorithm (ISA) was also developed to present an iterative approach towards sizing process when there were numerous sets of PV module and inverter need to be considered. At this stage, a database of PV module and a database of inverter were developed to form possible sizing solutions.
format	Book Section
author	Sulaiman, Shahril Irwan
author_facet	Sulaiman, Shahril Irwan
author_sort	Sulaiman, Shahril Irwan
title	Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
title_short	Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
title_full	Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
title_fullStr	Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
title_full_unstemmed	Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
title_sort	intelligent sizing and output prediction techniques for grid-connected photovoltaic system / shahril irwan sulaiman
publisher	Institute of Graduate Studies, UiTM
publishDate	2012
url	http://ir.uitm.edu.my/id/eprint/19110/ http://ir.uitm.edu.my/id/eprint/19110/1/ABS_SHAHRIL%20IRWAN%20SULAIMAN%20TDRA%20VOL%201%20IGS%2012.pdf
first_indexed	2023-09-18T23:01:52Z
last_indexed	2023-09-18T23:01:52Z
_version_	1777418227087835136

Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman

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