Modeling and analysis microturbine and battery storage system microgrid system based on green energy

Khamis, Alias and Ab Ghani, Mohd Ruddin and Gan, Chin Kim and Mohd Aras, Mohd Shahrieel and Ab Rashid, Mohd Zamzuri and Dahlan, Nurfaezatul Aqma (2017) Modeling and analysis microturbine and battery storage system microgrid system based on green energy. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 9 (2-7). pp. 89-94. ISSN 2180-1843

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Abstract

Nowadays, many countries have shown their interest in distributed generation technology. Recently, there are many problems with the power system. One of the problems is high electricity price. The price in power generation relies largely on the type and market price of the fuel used, government subsidies, government and industry regulation, and even local climate patterns. Other than that, the usage of fossil fuel needs to be reduced as its usage results in smog and acid rain, which eventually lead to the greenhouse emission and changes in earth's climate. To supply a better power system, this research introduces a model of MicroTurbine (MT) and battery storage MicroGrid (MG) system based on green energy. The small-scale MG is widely used in power generation system. MG can operate with renewable and non-renewable energy. Through this project, MG will be modeled by using MT as Distribution Generation (DG) and battery storage system as Distribution Storage (DS). The MG system will be simulated using MATLAB Simulink. The MG system will be analyzed in grid connected or grid-disconnected mode. The simulation shows the results of different modes of MG system. The factors and causes affecting the MG system will be discussed.

Item Type:	Article
Uncontrolled Keywords:	Battery storage, Microturbine, Microgrid
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	02 Jul 2018 04:13
Last Modified:	25 May 2023 14:32
URI:	http://eprints.utem.edu.my/id/eprint/20921
Statistic Details:	View Download Statistic

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