Optimal grid-connected PV system for a campus microgrid

This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency....

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Main Authors: Reyasudin Basir Khan M., Pasupuleti J., Al-Fattah J., Tahmasebi M.
Other Authors: 55812128900
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Published: Institute of Advanced Engineering and Science 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-235202023-05-29T14:50:03Z Optimal grid-connected PV system for a campus microgrid Reyasudin Basir Khan M. Pasupuleti J. Al-Fattah J. Tahmasebi M. 55812128900 11340187300 57190137793 55945605900 This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency. The microgrid modeled and simulated in Hybrid Optimization Model for Electrical Renewable (HOMER) software. Actual load profile and renewable resources were used as an input parameter for the hybrid system. The campus selected is Universiti Kuala Lumpur, British Malaysian Institute as it represents typical load profile for a small campus. Therefore, the results can be used to represent hybrid system development for other small campuses in Malaysia as well. Firstly, optimal sizing of renewable energy (RE) were simulated with respect to total Net Present Cost (NPC) and Cost of Energy (COE). Then, sensitivity analysis conducted to determine the system performance based on changes of load growth, and renewable resources. The results demonstrate optimal HRES combinations for the campus microgrid comprises of 50 kWp of PV generations with 50 kW inverter. However, inclusion of 576 kWh battery storage system will increase the NPC but has higher RE penetration. � 2018 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:50:03Z 2023-05-29T06:50:03Z 2018 Article 10.11591/ijeecs.v12.i3.pp899-906 2-s2.0-85057235951 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057235951&doi=10.11591%2fijeecs.v12.i3.pp899-906&partnerID=40&md5=18d9e95b3753197025caaf249d1a723c https://irepository.uniten.edu.my/handle/123456789/23520 12 3 899 906 All Open Access, Hybrid Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency. The microgrid modeled and simulated in Hybrid Optimization Model for Electrical Renewable (HOMER) software. Actual load profile and renewable resources were used as an input parameter for the hybrid system. The campus selected is Universiti Kuala Lumpur, British Malaysian Institute as it represents typical load profile for a small campus. Therefore, the results can be used to represent hybrid system development for other small campuses in Malaysia as well. Firstly, optimal sizing of renewable energy (RE) were simulated with respect to total Net Present Cost (NPC) and Cost of Energy (COE). Then, sensitivity analysis conducted to determine the system performance based on changes of load growth, and renewable resources. The results demonstrate optimal HRES combinations for the campus microgrid comprises of 50 kWp of PV generations with 50 kW inverter. However, inclusion of 576 kWh battery storage system will increase the NPC but has higher RE penetration. � 2018 Institute of Advanced Engineering and Science. All rights reserved.
author2 55812128900
author_facet 55812128900
Reyasudin Basir Khan M.
Pasupuleti J.
Al-Fattah J.
Tahmasebi M.
format Article
author Reyasudin Basir Khan M.
Pasupuleti J.
Al-Fattah J.
Tahmasebi M.
spellingShingle Reyasudin Basir Khan M.
Pasupuleti J.
Al-Fattah J.
Tahmasebi M.
Optimal grid-connected PV system for a campus microgrid
author_sort Reyasudin Basir Khan M.
title Optimal grid-connected PV system for a campus microgrid
title_short Optimal grid-connected PV system for a campus microgrid
title_full Optimal grid-connected PV system for a campus microgrid
title_fullStr Optimal grid-connected PV system for a campus microgrid
title_full_unstemmed Optimal grid-connected PV system for a campus microgrid
title_sort optimal grid-connected pv system for a campus microgrid
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806428359772602368