Battery-based energy storage transportation (BEST) for enhancing power system economics and security

This report investigates the feasibility of applying Battery-Based Energy Storage Transportation (BEST) through railway transportation into Security-Constrained Unit Commitment (SCUC). This model performs an optimal solution for minimizing the cost of power system operation by providing the suggeste...

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Main Author: Lam, Jin Kang
Other Authors: Soh Cheong Boon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149985
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1499852023-07-07T18:30:24Z Battery-based energy storage transportation (BEST) for enhancing power system economics and security Lam, Jin Kang Soh Cheong Boon School of Electrical and Electronic Engineering ECBSOH@ntu.edu.sg Engineering::Electrical and electronic engineering This report investigates the feasibility of applying Battery-Based Energy Storage Transportation (BEST) through railway transportation into Security-Constrained Unit Commitment (SCUC). This model performs an optimal solution for minimizing the cost of power system operation by providing the suggested location and hourly charging/discharging schedule. This project uses Mixed-Integer Linear Programming (MILP) as a model and computes the optimal solution when all operational constraints are met. This integrated model is tested in the modified IEEE 14-bus system with three railway station and the IEEE 30-bus system with three railway station. The results show that this model reduced the overall operation cost significantly and transmission congestion compared to the system without the BEST. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-10T01:40:51Z 2021-06-10T01:40:51Z 2021 Final Year Project (FYP) Lam, J. K. (2021). Battery-based energy storage transportation (BEST) for enhancing power system economics and security. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149985 https://hdl.handle.net/10356/149985 en A1113-201 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Lam, Jin Kang
Battery-based energy storage transportation (BEST) for enhancing power system economics and security
description This report investigates the feasibility of applying Battery-Based Energy Storage Transportation (BEST) through railway transportation into Security-Constrained Unit Commitment (SCUC). This model performs an optimal solution for minimizing the cost of power system operation by providing the suggested location and hourly charging/discharging schedule. This project uses Mixed-Integer Linear Programming (MILP) as a model and computes the optimal solution when all operational constraints are met. This integrated model is tested in the modified IEEE 14-bus system with three railway station and the IEEE 30-bus system with three railway station. The results show that this model reduced the overall operation cost significantly and transmission congestion compared to the system without the BEST.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Lam, Jin Kang
format Final Year Project
author Lam, Jin Kang
author_sort Lam, Jin Kang
title Battery-based energy storage transportation (BEST) for enhancing power system economics and security
title_short Battery-based energy storage transportation (BEST) for enhancing power system economics and security
title_full Battery-based energy storage transportation (BEST) for enhancing power system economics and security
title_fullStr Battery-based energy storage transportation (BEST) for enhancing power system economics and security
title_full_unstemmed Battery-based energy storage transportation (BEST) for enhancing power system economics and security
title_sort battery-based energy storage transportation (best) for enhancing power system economics and security
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149985
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