Investigations on real-time charging and discharging pricing of electric vehicles
The increase in electricity demand arising from electric vehicle (EV) charging activities will have an adverse impact on many power grids. With the advent of smart grid technology and the Internet-of-Things (IoT), more sophisticated demand-side management techniques can be explored that allows for m...
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2024
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sg-ntu-dr.10356-1758782024-05-10T15:48:00Z Investigations on real-time charging and discharging pricing of electric vehicles Muhamad Danish Karlin Bin Mohamed Isa Yun Yang School of Electrical and Electronic Engineering yun.yang@ntu.edu.sg Engineering The increase in electricity demand arising from electric vehicle (EV) charging activities will have an adverse impact on many power grids. With the advent of smart grid technology and the Internet-of-Things (IoT), more sophisticated demand-side management techniques can be explored that allows for more granular control over power delivery to controllable loads, such as EV charging. In this project, an algorithm for the management of routine EV charging activities is proposed. More specifically, the algorithm schedules routine EV charging activities during periods of lower electricity demand on the power grid through the minimisation of spot prices paid to the power grid to prevent the exacerbation of current peak power demand. This algorithm does not require any modification of customer behaviours. This optimised charging scheme is applied in a multi-EV system in MATLAB. The results from this optimisation algorithm are provided to verify the efficacy of the proposed charging scheme. Bachelor's degree 2024-05-08T08:13:15Z 2024-05-08T08:13:15Z 2024 Final Year Project (FYP) Muhamad Danish Karlin Bin Mohamed Isa (2024). Investigations on real-time charging and discharging pricing of electric vehicles. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175878 https://hdl.handle.net/10356/175878 en A1163-231 application/pdf Nanyang Technological University |
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The increase in electricity demand arising from electric vehicle (EV) charging activities will have an adverse impact on many power grids. With the advent of smart grid technology and the Internet-of-Things (IoT), more sophisticated demand-side management techniques can be explored that allows for more granular control over power delivery to controllable loads, such as EV charging. In this project, an algorithm for the management of routine EV charging activities is proposed. More specifically, the algorithm schedules routine EV charging activities during periods of lower electricity demand on the power grid through the minimisation of spot prices paid to the power grid to prevent the exacerbation of current peak power demand. This algorithm does not require any modification of customer behaviours. This optimised charging scheme is applied in a multi-EV system in MATLAB. The results from this optimisation algorithm are provided to verify the efficacy of the proposed charging scheme. |
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Yun Yang |
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Yun Yang Muhamad Danish Karlin Bin Mohamed Isa |
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Final Year Project |
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Muhamad Danish Karlin Bin Mohamed Isa |
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Muhamad Danish Karlin Bin Mohamed Isa |
title |
Investigations on real-time charging and discharging pricing of electric vehicles |
title_short |
Investigations on real-time charging and discharging pricing of electric vehicles |
title_full |
Investigations on real-time charging and discharging pricing of electric vehicles |
title_fullStr |
Investigations on real-time charging and discharging pricing of electric vehicles |
title_full_unstemmed |
Investigations on real-time charging and discharging pricing of electric vehicles |
title_sort |
investigations on real-time charging and discharging pricing of electric vehicles |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/175878 |
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1814047153589321728 |