Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties
Low-probability but high-impact extreme events, such as floods, earthquakes, hurricanes, etc., could threaten the security of a multi-energy system, especially on the distribution level, and cause severe energy supply outages. In this paper, a coordinated restoration method is presented for the rene...
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sg-ntu-dr.10356-1690052023-06-26T08:08:37Z Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties Li, Zhengmao Xu, Yan Wang, Peng Xiao, Gaoxi School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Thermal Inertia Stochastic Programming Low-probability but high-impact extreme events, such as floods, earthquakes, hurricanes, etc., could threaten the security of a multi-energy system, especially on the distribution level, and cause severe energy supply outages. In this paper, a coordinated restoration method is presented for the renewable energy-integrated multi-energy distribution system (MDS) with several coupling points to coordinate the preparation and load recovery stages after the extreme event. First, the MDS restoration is comprehensively modeled with coupled power and thermal network constraints. Especially, the thermal inertia, which is in the form of pipe storage and thermal demand response of smart buildings to serve as a buffer when the source fails, is fully utilized to reduce the energy supply cost after disasters. Secondly, both preparation and load recovery stage measures are employed to facilitate efficient and reliable system restoration. Furthermore, multiple uncertainties from the renewable generation and power demands in the MDS restoration are dealt with via a risk-averse two-stage stochastic programming approach. Finally, simulation results validate the effectiveness of our method and its superiority over the traditional restoration methods. National Research Foundation (NRF) This work is partially supported by the Future Resilient Systems ( FRS-II ) Project at the Singapore-ETH Centre (SEC), which is funded by the National Research Foundation of Singapore (NRF) under its Campus for Research Excellence and Technological Enterprise (CREATE) program. 2023-06-26T08:08:37Z 2023-06-26T08:08:37Z 2023 Journal Article Li, Z., Xu, Y., Wang, P. & Xiao, G. (2023). Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties. Applied Energy, 336, 120736-. https://dx.doi.org/10.1016/j.apenergy.2023.120736 0306-2619 https://hdl.handle.net/10356/169005 10.1016/j.apenergy.2023.120736 2-s2.0-85147219359 336 120736 en FRS-II CREATE Applied Energy © 2023 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Thermal Inertia Stochastic Programming Li, Zhengmao Xu, Yan Wang, Peng Xiao, Gaoxi Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
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Low-probability but high-impact extreme events, such as floods, earthquakes, hurricanes, etc., could threaten the security of a multi-energy system, especially on the distribution level, and cause severe energy supply outages. In this paper, a coordinated restoration method is presented for the renewable energy-integrated multi-energy distribution system (MDS) with several coupling points to coordinate the preparation and load recovery stages after the extreme event. First, the MDS restoration is comprehensively modeled with coupled power and thermal network constraints. Especially, the thermal inertia, which is in the form of pipe storage and thermal demand response of smart buildings to serve as a buffer when the source fails, is fully utilized to reduce the energy supply cost after disasters. Secondly, both preparation and load recovery stage measures are employed to facilitate efficient and reliable system restoration. Furthermore, multiple uncertainties from the renewable generation and power demands in the MDS restoration are dealt with via a risk-averse two-stage stochastic programming approach. Finally, simulation results validate the effectiveness of our method and its superiority over the traditional restoration methods. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Li, Zhengmao Xu, Yan Wang, Peng Xiao, Gaoxi |
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Article |
author |
Li, Zhengmao Xu, Yan Wang, Peng Xiao, Gaoxi |
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Li, Zhengmao |
title |
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
title_short |
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
title_full |
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
title_fullStr |
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
title_full_unstemmed |
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
title_sort |
coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties |
publishDate |
2023 |
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https://hdl.handle.net/10356/169005 |
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1772826633959374848 |