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Article: Enhancing resilience of emergency heat and power supply via deployment of LNG tube trailers: A mean-risk optimization approach

TitleEnhancing resilience of emergency heat and power supply via deployment of LNG tube trailers: A mean-risk optimization approach
Authors
KeywordsConditional value-at-risk
Integrated energy system
Liquefied natural gas
Resilience enhancement
Tube trailer
Issue Date15-Jul-2022
PublisherElsevier
Citation
Applied Energy, 2022, v. 318 How to Cite?
AbstractTube trailers are widely used for distributing liquefied natural gas (LNG) through transportation networks. When a snowstorm occurs in winter, bad weather conditions may cause pipeline blockages and restrict the movement of trailers, leading to an LNG disruption of an islanded integrated energy system (IES). Thus, it is necessary to pre-allocate the trailers and LNG to enhance IES's resilience and support its LNG consumption during a snowstorm. This paper explores the resilience potential of LNG tube trailers and investigates their optimal pre-allocation strategy. At first, the system operation and damages of IES during a snowstorm are modeled. The network reconfiguration helps reconstruct the damaged network, and pre-allocated LNG helps support heat and power supply. Then, risk-averting two-stage stochastic programming is applied to solve the optimal trailer pre-allocation plan. The first stage tries to reduce the cost of LNG consumption and trailer pre-allocation; the second stage tries to avoid losses of heat and electricity loads. Besides, the conditional-value-at-risk is considered in the model to prevent low-probability but heavy-loss-load-shedding events. Note that the proposed model contains many integer variables, making it non-convex and prohibiting duality theory. A penalty-based Gauss–Seidel method is developed to solve this issue. This method decomposes the model into scenario-independent sub-problems that can be solved in parallel and achieve a consistent first-stage decision. The simulation results demonstrate the effectiveness of trailer pre-allocation in the IES's resilience enhancement.
Persistent Identifierhttp://hdl.handle.net/10722/338413
ISSN
2023 Impact Factor: 10.1
2023 SCImago Journal Rankings: 2.820
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, B-
dc.contributor.authorChen, Y-
dc.contributor.authorWei, W-
dc.contributor.authorHou, Y-
dc.contributor.authorMei, S-
dc.date.accessioned2024-03-11T10:28:39Z-
dc.date.available2024-03-11T10:28:39Z-
dc.date.issued2022-07-15-
dc.identifier.citationApplied Energy, 2022, v. 318-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10722/338413-
dc.description.abstractTube trailers are widely used for distributing liquefied natural gas (LNG) through transportation networks. When a snowstorm occurs in winter, bad weather conditions may cause pipeline blockages and restrict the movement of trailers, leading to an LNG disruption of an islanded integrated energy system (IES). Thus, it is necessary to pre-allocate the trailers and LNG to enhance IES's resilience and support its LNG consumption during a snowstorm. This paper explores the resilience potential of LNG tube trailers and investigates their optimal pre-allocation strategy. At first, the system operation and damages of IES during a snowstorm are modeled. The network reconfiguration helps reconstruct the damaged network, and pre-allocated LNG helps support heat and power supply. Then, risk-averting two-stage stochastic programming is applied to solve the optimal trailer pre-allocation plan. The first stage tries to reduce the cost of LNG consumption and trailer pre-allocation; the second stage tries to avoid losses of heat and electricity loads. Besides, the conditional-value-at-risk is considered in the model to prevent low-probability but heavy-loss-load-shedding events. Note that the proposed model contains many integer variables, making it non-convex and prohibiting duality theory. A penalty-based Gauss–Seidel method is developed to solve this issue. This method decomposes the model into scenario-independent sub-problems that can be solved in parallel and achieve a consistent first-stage decision. The simulation results demonstrate the effectiveness of trailer pre-allocation in the IES's resilience enhancement.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofApplied Energy-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectConditional value-at-risk-
dc.subjectIntegrated energy system-
dc.subjectLiquefied natural gas-
dc.subjectResilience enhancement-
dc.subjectTube trailer-
dc.titleEnhancing resilience of emergency heat and power supply via deployment of LNG tube trailers: A mean-risk optimization approach-
dc.typeArticle-
dc.identifier.doi10.1016/j.apenergy.2022.119204-
dc.identifier.scopuseid_2-s2.0-85129503609-
dc.identifier.volume318-
dc.identifier.eissn1872-9118-
dc.identifier.isiWOS:000799559500001-
dc.identifier.issnl0306-2619-

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