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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2021
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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 |
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Engineering::Electrical and electronic engineering Lam, Jin Kang Battery-based energy storage transportation (BEST) for enhancing power system economics and security |
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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. |
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Soh Cheong Boon |
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Soh Cheong Boon Lam, Jin Kang |
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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 |
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Nanyang Technological University |
publishDate |
2021 |
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https://hdl.handle.net/10356/149985 |
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1772827050404478976 |