Deanship of Graduate Studies | Researches | Optimal Economic Dispatch of Power System Networks with Renewable Energy Sources

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Document Details

Document Type	:	Thesis
Document Title	:	Optimal Economic Dispatch of Power System Networks with Renewable Energy Sources النقل الاقتصادي الأمثل لشبكات القوى الكهربائية المحتوية على مصادر طاقة متجددة
Subject	:	Faculty of Engineering
Document Language	:	Arabic
Abstract	:	This dissertation compares between different types of batteries of a grid-connected hybrid power system that utilizes renewable energy sources (PV and Wind Turbines). The hybrid system is located in Yanbu region in Saudi Arabia. Part of the vision of 2030 of Saudi Arabia is to use renewable energy sources to cover a portion of the total electricity production. The required energy to be produced by renewable energy sources is 850 MW for the vision of 2030. To meet such a requirement, a thorough study is carried out to investigate a potential solution. The purpose of this work is to design a hybrid system which contains battery storage and has the best optimal solution. Ten different batteries were used for a comparison study to examine the hybrid system. Hybrid Optimization of Multiple Energy Resources (HOMER) software was used to design the hybrid system. This software was chosen for this work because it simplifies the task of evaluating designs for both off-grid and grid-connected power systems. It is easy to use and provides real time evaluation of power systems. The criteria used for decision making purpose are the net present cost (NPC), levelized cost of energy (COE), electricity production, initial capital cost, nominal battery capacity, and battery autonomy. The results indicate that the hybrid system with Zinc Bromine flow battery (electrochemical type) has the best optimal solution.
Supervisor	:	Prof. Dr. Abdullah Abusorrah
Thesis Type	:	Master Thesis
Publishing Year	:	1445 AH 2023 AD
Added Date	:	Monday, November 13, 2023

Researchers

Researcher Name (Arabic)	Researcher Name (English)	Researcher Type	Dr Grade	Email
عاطف محمد ولي	Wali, Atif Mohammed	Researcher	Master

Files

File Name	Type	Description
49541.pdf	pdf

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