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: Basir Khan, Mohammed Reyasudin (Author), Pasupuleti, Jagadeesh (Author), Al-Fattah, Jabbar (Author), Tahmasebi, Mehrdad (Author)
Other Authors: Universiti Kuala Lumpur (Contributor), Universiti Tenaga Nasional (Contributor)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-12-01.
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LEADER 02689 am a22003373u 4500
001 ijeecs13367_9879
042 |a dc 
100 1 0 |a Basir Khan, Mohammed Reyasudin  |e author 
100 1 0 |a Universiti Kuala Lumpur  |e contributor 
100 1 0 |a Universiti Tenaga Nasional  |e contributor 
700 1 0 |a Pasupuleti, Jagadeesh  |e author 
700 1 0 |a Al-Fattah, Jabbar  |e author 
700 1 0 |a Tahmasebi, Mehrdad  |e author 
245 0 0 |a Optimal Grid-Connected PV System for a Campus Microgrid 
260 |b Institute of Advanced Engineering and Science,   |c 2018-12-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13367 
520 |a 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. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Electrical; Energy; 
690 |a Optimal Hybrid System; HOMER; Renewable Energy; Microgrid 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: December 2018; 899-906 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13367/9879 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13367/9879  |z Get fulltext