Modelling and scheduling of transportable energy storage systems using a time space network technique
Large area blackouts lead to widespread catastrophic consequences for economy and society. It highlights the importance of power systems resilience against major disruptions, especially for distribution systems (DSs). In a more resilient DS, electric service restoration can be implemented efficientl...
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2021
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sg-ntu-dr.10356-1489362023-07-07T16:48:46Z Modelling and scheduling of transportable energy storage systems using a time space network technique Seah, Zuo Hang Soh Cheong Boon School of Electrical and Electronic Engineering Liu Xiao Chuan ECBSOH@ntu.edu.sg Engineering::Electrical and electronic engineering Large area blackouts lead to widespread catastrophic consequences for economy and society. It highlights the importance of power systems resilience against major disruptions, especially for distribution systems (DSs). In a more resilient DS, electric service restoration can be implemented efficiently using stationary and transportable sources. Equipped with vehicles, transportable sources, such as transportable energy storage systems (TESSs), have great potential to enhance the resilience through optimal scheduling among multiple islands within the DS. The scheduling of TESSs and network reconfiguration of DSs should be jointly optimized in the post-disaster restoration. After a disaster, there exists multiple faults in the DS, and the network reconfiguration is necessary to improve the resilience via forming multiple islands, while TESSs can affect the power balance in each island through a sequence of trips (e.g., an optimal scheduling of TESSs). Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-20T13:38:59Z 2021-05-20T13:38:59Z 2021 Final Year Project (FYP) Seah, Z. H. (2021). Modelling and scheduling of transportable energy storage systems using a time space network technique. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148936 https://hdl.handle.net/10356/148936 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Seah, Zuo Hang Modelling and scheduling of transportable energy storage systems using a time space network technique |
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Large area blackouts lead to widespread catastrophic consequences for economy and society. It highlights the importance of power systems resilience against major disruptions, especially for distribution systems (DSs). In a more resilient DS, electric service restoration can be implemented efficiently using stationary and transportable sources. Equipped with vehicles, transportable sources, such as transportable energy storage systems (TESSs), have great potential to enhance the resilience through optimal scheduling among multiple islands within the DS.
The scheduling of TESSs and network reconfiguration of DSs should be jointly optimized in the post-disaster restoration. After a disaster, there exists multiple faults in the DS, and the network reconfiguration is necessary to improve the resilience via forming multiple islands, while TESSs can affect the power balance in each island through a sequence of trips (e.g., an optimal scheduling of TESSs). |
author2 |
Soh Cheong Boon |
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Soh Cheong Boon Seah, Zuo Hang |
format |
Final Year Project |
author |
Seah, Zuo Hang |
author_sort |
Seah, Zuo Hang |
title |
Modelling and scheduling of transportable energy storage systems using a time space network technique |
title_short |
Modelling and scheduling of transportable energy storage systems using a time space network technique |
title_full |
Modelling and scheduling of transportable energy storage systems using a time space network technique |
title_fullStr |
Modelling and scheduling of transportable energy storage systems using a time space network technique |
title_full_unstemmed |
Modelling and scheduling of transportable energy storage systems using a time space network technique |
title_sort |
modelling and scheduling of transportable energy storage systems using a time space network technique |
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Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148936 |
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1772826837824569344 |