Malaysian reference network modelling for photovoltaic impact study

The burning of abundant fossil fuel amount to accommodate the energy demand causes emission of the greenhouse gas (GHG) which is contribute to the climate change. The Distributed Generation (DG) and renewable energy resources is one promising approach to reduce the emission, thereby mitigating clima...

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Main Author:	Annathurai, Vinodh
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/20563/1/Malaysian%20Reference%20Network%20Modelling%20For%20Photovoltaic%20Impact%20Study.pdf http://eprints.utem.edu.my/id/eprint/20563/2/Malaysian%20reference%20network%20modelling%20for%20photovoltaic%20impact%20study.pdf
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id	my-utem-ep.20563
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Gan, Chin Kim
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Annathurai, Vinodh Malaysian reference network modelling for photovoltaic impact study
description	The burning of abundant fossil fuel amount to accommodate the energy demand causes emission of the greenhouse gas (GHG) which is contribute to the climate change. The Distributed Generation (DG) and renewable energy resources is one promising approach to reduce the emission, thereby mitigating climate change. However, most of the DG and renewable energy resources, especially the photovoltaic (PV) system is intermittent and often fluctuates. In this regard, this thesis focuses on the analysing the impact of PV integration at the medium voltage (MV) network. More precisely, the network losses and voltage issues are used to evaluate the effects of four variables; PV system installed locations, PV variability index (VI), different time resolution of PV generation profiles used and the PV penetration levels. The Malaysian Reference Network (RN) is modelled with the intention to analyse the impact of PV integration at the Medium Voltage (MV) network. Moreover, the breakdown of network losses for the Malaysian MV network is quantified by utilising the RN models. All case studies have been carried out for the urban, semi-urban and rural MV networks. The findings suggest that PV system installed at the end of the 11kV feeder for the rural and semi-urban produces significant network losses reduction than urban networks, which is driven by feeder length and load size. The findings also show that different categories of VI produce different impact on the networks. Voltage fluctuation and voltage step change are the two main concerns of various PV variability on the MV network. In addition, the different time resolution of real solar PV generation profile was collected to be used in the case study. By analysing different ranges of time resolution, it is suggested that a 15-minute time resolution PV generation profiles data are sufficient in network assessment study with approximately 5% error. The use of hourly PV generation data will cause up to 31% loss of accuracy. Furthermore, a case study was done to evaluate the impact of different PV penetration levels. The results show that PV integration above 60% and 100% penetration level will likely cause voltage rise violation in rural and urban networks, respectively. The research also suggests that the maximum PV penetration levels for a MV Malaysian network are based on several network performance indicators. In conclusion, the results show that location of PV system, PV variability, time resolution and PV penetration level are the key parameters to study the impact of PV in the MV networks.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Annathurai, Vinodh
author_facet	Annathurai, Vinodh
author_sort	Annathurai, Vinodh
title	Malaysian reference network modelling for photovoltaic impact study
title_short	Malaysian reference network modelling for photovoltaic impact study
title_full	Malaysian reference network modelling for photovoltaic impact study
title_fullStr	Malaysian reference network modelling for photovoltaic impact study
title_full_unstemmed	Malaysian reference network modelling for photovoltaic impact study
title_sort	malaysian reference network modelling for photovoltaic impact study
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20563/1/Malaysian%20Reference%20Network%20Modelling%20For%20Photovoltaic%20Impact%20Study.pdf http://eprints.utem.edu.my/id/eprint/20563/2/Malaysian%20reference%20network%20modelling%20for%20photovoltaic%20impact%20study.pdf
_version_	1747833982877171712
spelling	my-utem-ep.205632022-06-08T11:24:52Z Malaysian reference network modelling for photovoltaic impact study 2017 Annathurai, Vinodh T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The burning of abundant fossil fuel amount to accommodate the energy demand causes emission of the greenhouse gas (GHG) which is contribute to the climate change. The Distributed Generation (DG) and renewable energy resources is one promising approach to reduce the emission, thereby mitigating climate change. However, most of the DG and renewable energy resources, especially the photovoltaic (PV) system is intermittent and often fluctuates. In this regard, this thesis focuses on the analysing the impact of PV integration at the medium voltage (MV) network. More precisely, the network losses and voltage issues are used to evaluate the effects of four variables; PV system installed locations, PV variability index (VI), different time resolution of PV generation profiles used and the PV penetration levels. The Malaysian Reference Network (RN) is modelled with the intention to analyse the impact of PV integration at the Medium Voltage (MV) network. Moreover, the breakdown of network losses for the Malaysian MV network is quantified by utilising the RN models. All case studies have been carried out for the urban, semi-urban and rural MV networks. The findings suggest that PV system installed at the end of the 11kV feeder for the rural and semi-urban produces significant network losses reduction than urban networks, which is driven by feeder length and load size. The findings also show that different categories of VI produce different impact on the networks. Voltage fluctuation and voltage step change are the two main concerns of various PV variability on the MV network. In addition, the different time resolution of real solar PV generation profile was collected to be used in the case study. By analysing different ranges of time resolution, it is suggested that a 15-minute time resolution PV generation profiles data are sufficient in network assessment study with approximately 5% error. The use of hourly PV generation data will cause up to 31% loss of accuracy. Furthermore, a case study was done to evaluate the impact of different PV penetration levels. The results show that PV integration above 60% and 100% penetration level will likely cause voltage rise violation in rural and urban networks, respectively. The research also suggests that the maximum PV penetration levels for a MV Malaysian network are based on several network performance indicators. In conclusion, the results show that location of PV system, PV variability, time resolution and PV penetration level are the key parameters to study the impact of PV in the MV networks. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20563/ http://eprints.utem.edu.my/id/eprint/20563/1/Malaysian%20Reference%20Network%20Modelling%20For%20Photovoltaic%20Impact%20Study.pdf text en public http://eprints.utem.edu.my/id/eprint/20563/2/Malaysian%20reference%20network%20modelling%20for%20photovoltaic%20impact%20study.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106324&query_desc=kw%2Cwrdl%3A%20Malaysian%20Reference%20Network%20Modelling%20For%20Photovoltaic%20Impact%20Study mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Gan, Chin Kim 1. Agarwal, L. and Peng, W., 2014. Probabilistic Estimation of Aggregated Power Capacity of EVs for Vehicle-to-Grid Application. 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