Lau, Tiong Kiang (2024) Optimal placement and sizing of electric vehicle charging stations on distribution systems for enhanced power system stability. Master dissertation/thesis, UTAR.
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Abstract
The integration of Electric Vehicle (EV) charging stations with power distribution networks is crucial for advancing sustainable transportation. This study addresses the vital need for optimal placement and sizing of EV charging stations to enhance power system stability. Failure to conduct these studies could lead to suboptimal network performance, increased power losses, and reduced reliability. As the demand for reliable and accessible EV charging infrastructure grows, challenges in grid integration become apparent, necessitating a thorough investigation into the optimal placement and sizing of these stations. Using Electrical Transient Analysis Program (ETAP) Software and a modified IEEE 13-bus test system, the research investigates the impact of EV charging loads on network stability, power losses, and reliability. Detailed load flow analyses are conducted to assess different charging load scenarios, emphasizing the importance of prioritizing voltage stability to minimize power losses and ensure network reliability. A sequence algorithm systematically analyzes each bus in the distribution system, suggesting optimal locations for EV charging stations while considering load handling capability and network losses. The study showcases the significance of correct sizing and placement of EV charging stations in improving overall system reliability and efficiency. These findings align with Malaysia's energy and transportation goals, supporting the transition to Electric Mobility outlined in the National Automotive Policy (NAP). By addressing critical technical and operational challenges, this research underscores the necessity of optimal sizing and placement of EV charging stations to optimize power system stability and efficiency in the evolving landscape of electric mobility, thereby contributing significantly to the sustainability of transportation infrastructure.
Item Type: | Final Year Project / Dissertation / Thesis (Master dissertation/thesis) |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Divisions: | Institute of Postgraduate Studies & Research > Lee Kong Chian Faculty of Engineering and Science (LKCFES) - Sg. Long Campus > Master of Engineering (Electrical) |
Depositing User: | Sg Long Library |
Date Deposited: | 26 Jun 2024 10:01 |
Last Modified: | 26 Jun 2024 10:01 |
URI: | http://eprints.utar.edu.my/id/eprint/6467 |
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