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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Main Authors: Li, Zhengmao, Xu, Yan, Wang, Peng, Xiao, Gaoxi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169005
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Institution: Nanyang Technological University
Language: English
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spelling 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.
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
Thermal Inertia
Stochastic Programming
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Li, Zhengmao
Xu, Yan
Wang, Peng
Xiao, Gaoxi
format Article
author Li, Zhengmao
Xu, Yan
Wang, Peng
Xiao, Gaoxi
author_sort 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
url https://hdl.handle.net/10356/169005
_version_ 1772826633959374848