Simulation analysis for maximizing renewable solar energy to improve the power generation capacity in the state of Kuwait

Muhaisen, Naser and Khan, Sheroz and Ismail, Zeyad M. A. and Habaebi, Mohamed Hadi and Ahmed, Nabil A. and Ahmed, Musse Mohamud (2018) Simulation analysis for maximizing renewable solar energy to improve the power generation capacity in the state of Kuwait. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS), 7-8 August 2017, Bangkok, Thailand.

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Abstract

This paper aims to present how to improve power generation capacity in the State of Kuwait through simulation analysis for maximizing the usage of renewable energy applications. Power demand in Kuwait increases every year by 6% that causes load-shedding problems in the national utility grid system. An effective solution is proposed in this paper to enhance the power demand shortage which leads to reduce the effects of load demands excesses, by employing some solutions in the field of solar energy system. The on-grid solar energy system to be spread on roof of buildings connected to utility grid in Kuwait is a fantastic solution for backing up the increasing power demand. In this paper, the research work is directed towards the study of new approach by adopting power generation system based on PV on-grid systems installed on rooftops of commercial and residential buildings. The system performance analysis is carried out by choosing Mono crystalline PV modules using PSIM software simulation. This simulation covers the analysis of power generated by the PV system as an input passing through a selected maximum power point tracker (MPPT) to achieve the maximum energy output. A control algorithm for power regulation has been developed with maximum power generation of enhanced AC power grid with power factor close to unity. A reliable tracker for the power output was shown by the simulation results generated by the model.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	3930/64737
Uncontrolled Keywords:	power generation; renewable energy; loadshedding; Mono crystalline PV model; PSIM software
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	07 Aug 2018 11:07
Last Modified:	07 Aug 2018 11:08
URI:	http://irep.iium.edu.my/id/eprint/64737

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