AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS

Analysis on the performance of energy storage technologies in hybrid power system (HPS) is crucial for optimization purpose and better decision making on the energy storage technology selection. In this work, a new insight-based automated targeting model (ATM) was developed using Python programming...

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Bibliographic Details
Main Author: AZAMI, NAZMIR IKHWAN
Format: Final Year Project
Language:English
Published: 2021
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/25874/1/Thesis_Nazmir%20Ikhwan%20bin%20Azami%20-%20Nazmir%20Ikhwan.pdf
http://utpedia.utp.edu.my/id/eprint/25874/
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Summary:Analysis on the performance of energy storage technologies in hybrid power system (HPS) is crucial for optimization purpose and better decision making on the energy storage technology selection. In this work, a new insight-based automated targeting model (ATM) was developed using Python programming to automate the energy targets calculation for both AC and DC energy storage types.