Optimal Sizing and Configuration of Hybrid Energy Storage System for Traction Substation

 




 

Gai, Kok Wing (2025) Optimal Sizing and Configuration of Hybrid Energy Storage System for Traction Substation. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

The project focuses on Hybrid Energy Storage Systems (HESS) and aims to provide a comprehensive understanding of this technology within the context of the railway industry. The study's scope encompasses an in-depth exploration of HESS, including its components, configurations, and control strategies, specifically tailored to address the unique challenges faced by the railway sector. The primary objective is to tackle the critical need for sustainable and energy-efficient transportation solutions, with a particular emphasis on overcoming issues related to energy supply, grid stability, and environmental impact, which are especially pertinent in the railway industry due to its high energy consumption. The research investigates how HESS can effectively meet these challenges by synergistically combining the capabilities of batteries and ultracapacitors to optimize energy density and power density, thus presenting HESS as a versatile solution for the railway sector. The study also delves into various HESS control strategies, including Genetic Algorithm (GA) and Artificial Neural Network (ANN), with the goal of enhancing HESS performance. Practical implementation and analysis of HESS through MATLAB/Simulink simulations and modelling using Python language provide insights into the design of HESS and its integration with traction systems, shedding light on the intricate relationships between power supply, energy recovery, and control mechanisms. In summary, this project underscores the transformative potential of HESS in revolutionizing the efficiency and sustainability of railway electrification systems, offering valuable guidance to engineers, researchers, and railway operators seeking to advance and enhance rail networks on a global scale.

Item Type: Final Year Project
Subjects: Technology > Electrical engineering. Electronics engineering
Faculties: Faculty of Engineering and Technology > Bachelor of Electrical and Electronics Engineering with Honours
Depositing User: Library Staff
Date Deposited: 16 Dec 2024 09:01
Last Modified: 16 Dec 2024 09:01
URI: https://eprints.tarc.edu.my/id/eprint/31297