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Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]

In grid-connected photovoltaic system (GCPV) operation, the solar energy generated by the photovoltaic (PV) array is directly used to supply the load demand and the excess energy is exported to the utility grid via an inverter. Although the GCPV systems have become popular in Malaysian residential p...

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Main Authors: Musirin, Ismail, Sulaiman, Shahril Irwan, Abdul Rahman, Titik Khawa, Shaari, Sulaiman, Omar, Ahmad Maliki, Othman, Muhammad Murthada, Muhammad, Khairul Safuan
Format: Research Reports
Language:English
Published: Research Management Institute (RMI) 2012
Subjects:
Indexes (General)
Online Access:http://ir.uitm.edu.my/id/eprint/24818/1/LP_ISMAIL%20MUSIRIN%20RMI%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/24818/
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spelling my.uitm.ir.248182019-07-19T02:19:10Z http://ir.uitm.edu.my/id/eprint/24818/ Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.] Musirin, Ismail Sulaiman, Shahril Irwan Abdul Rahman, Titik Khawa Shaari, Sulaiman Omar, Ahmad Maliki Othman, Muhammad Murthada Muhammad, Khairul Safuan Indexes (General) In grid-connected photovoltaic system (GCPV) operation, the solar energy generated by the photovoltaic (PV) array is directly used to supply the load demand and the excess energy is exported to the utility grid via an inverter. Although the GCPV systems have become popular in Malaysian residential power systems, the optimal design of GCPV system is still an issue to the local GCPV system integrator. The design process commonly known as sizing process is a very important aspect in GCPV system design as the performance of the sizing components are heavily influenced by inconsistent solar radiation, ambient temperature and wind speed [A. Mellit et. al., 2009]. An undersized or oversized GCPV system could either increase the overall system cost or degrade the performance of the GCPV system (Kil et. al., 1994). Previously, J.D. Mondol et. al. (2009), S. Islam et. al. (2003) and Van der Borg (2003) and J.D. Mondol (2006) had investigated the optimal GCPV system design using both empirical and procedural techniques. As these conventional sizing techniques are tedious and time-consuming, an Artificial Immune System (AIS)- based sizing algorithm is proposed to improve the conventional sizing technique by improving the computation time and the flexibility of the design process. As AIS is proven be a better optimization technique compared to other evolutionary techniques due to its clonal operation, the proposed AlS-based sizing algorithm is expected to produce faster computation time and able to handle more design options design decision is made. It is aimed to produce a GCPV design that could maximize the inverter-to-PV array sizing ratio by selecting the optimal PV module and inverter from a pre-developed databases as well as to determine the optimal PV module mounting orientation for a given roof space. Research Management Institute (RMI) 2012 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/24818/1/LP_ISMAIL%20MUSIRIN%20RMI%2012_5.pdf Musirin, Ismail and Sulaiman, Shahril Irwan and Abdul Rahman, Titik Khawa and Shaari, Sulaiman and Omar, Ahmad Maliki and Othman, Muhammad Murthada and Muhammad, Khairul Safuan (2012) Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]. [Research Reports] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Indexes (General)
spellingShingle Indexes (General)
Musirin, Ismail
Sulaiman, Shahril Irwan
Abdul Rahman, Titik Khawa
Shaari, Sulaiman
Omar, Ahmad Maliki
Othman, Muhammad Murthada
Muhammad, Khairul Safuan
Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
description In grid-connected photovoltaic system (GCPV) operation, the solar energy generated by the photovoltaic (PV) array is directly used to supply the load demand and the excess energy is exported to the utility grid via an inverter. Although the GCPV systems have become popular in Malaysian residential power systems, the optimal design of GCPV system is still an issue to the local GCPV system integrator. The design process commonly known as sizing process is a very important aspect in GCPV system design as the performance of the sizing components are heavily influenced by inconsistent solar radiation, ambient temperature and wind speed [A. Mellit et. al., 2009]. An undersized or oversized GCPV system could either increase the overall system cost or degrade the performance of the GCPV system (Kil et. al., 1994). Previously, J.D. Mondol et. al. (2009), S. Islam et. al. (2003) and Van der Borg (2003) and J.D. Mondol (2006) had investigated the optimal GCPV system design using both empirical and procedural techniques. As these conventional sizing techniques are tedious and time-consuming, an Artificial Immune System (AIS)- based sizing algorithm is proposed to improve the conventional sizing technique by improving the computation time and the flexibility of the design process. As AIS is proven be a better optimization technique compared to other evolutionary techniques due to its clonal operation, the proposed AlS-based sizing algorithm is expected to produce faster computation time and able to handle more design options design decision is made. It is aimed to produce a GCPV design that could maximize the inverter-to-PV array sizing ratio by selecting the optimal PV module and inverter from a pre-developed databases as well as to determine the optimal PV module mounting orientation for a given roof space.
format Research Reports
author Musirin, Ismail
Sulaiman, Shahril Irwan
Abdul Rahman, Titik Khawa
Shaari, Sulaiman
Omar, Ahmad Maliki
Othman, Muhammad Murthada
Muhammad, Khairul Safuan
author_facet Musirin, Ismail
Sulaiman, Shahril Irwan
Abdul Rahman, Titik Khawa
Shaari, Sulaiman
Omar, Ahmad Maliki
Othman, Muhammad Murthada
Muhammad, Khairul Safuan
author_sort Musirin, Ismail
title Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
title_short Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
title_full Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
title_fullStr Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
title_full_unstemmed Computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / Ismail Musirin … [et al.]
title_sort computational performance of artificial immune system-based sizing technique for grid-connected photovoltaic system / ismail musirin … [et al.]
publisher Research Management Institute (RMI)
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/24818/1/LP_ISMAIL%20MUSIRIN%20RMI%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/24818/
_version_ 1685649912582111232
score 13.211869

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