Resilience-oriented modeling and co-optimization for coupled power and water distribution systems

The interdependencies between the power distribution system (PDS) and water distribution system (WDS) are well-acknowledged in resilience analysis. Such interdependencies can hinder the post-disruption service restoration of both systems, and prolong the overall recovery process. Aimed at handl...

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Main Authors: Yang, Yesen, Lo, Edmond Yat-Man
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference or Workshop Item
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/161946
https://ieee-isgt-asia.org/program-overview/oral-session-schedule/wednesday-2-nov-author-listing/
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1619462023-01-06T00:59:29Z Resilience-oriented modeling and co-optimization for coupled power and water distribution systems Yang, Yesen Lo, Edmond Yat-Man Interdisciplinary Graduate School (IGS) School of Civil and Environmental Engineering 11th International Conference on Innovative Smart Grid Technologies (2022 IEEE ISGT Asia) Institute of Catastrophe Risk Management Engineering::Electrical and electronic engineering::Electric power Engineering::Environmental engineering::Water supply Interdependency Multi-Objective Optimization Model Power-Water Systems Resilience The interdependencies between the power distribution system (PDS) and water distribution system (WDS) are well-acknowledged in resilience analysis. Such interdependencies can hinder the post-disruption service restoration of both systems, and prolong the overall recovery process. Aimed at handling these issues, this paper proposes a resilience-oriented modeling and co-optimization method for coupled power and water (CPW) systems. The model integrates critical features of modern CPW systems, such as microgrids and distributed generations for power and water treatment plants, pumps, and tanks, for the water side. The interdependencies are extracted and formulated from mutual demand aspects. Further, a multiobjective optimization is presented to simultaneously reduce the loss of power load (LOPL) and loss of water load (LOWL). Finally, the method is tested on a coupled 33-bus power and 25-node water system and the result demonstrates the effectiveness of the proposed model and algorithm. Singapore-ETH Centre for Global Environmental Sustainability Submitted/Accepted version This work was supported by Future Resilient Systems, Singapore-ETH Centre through the National Research Foundation of Singapore under Its Campus for Research Excellence and Technological Enterprise program. 2023-01-06T00:56:30Z 2023-01-06T00:56:30Z 2022 Conference Paper Yang, Y. & Lo, E. Y. (2022). Resilience-oriented modeling and co-optimization for coupled power and water distribution systems. 11th International Conference on Innovative Smart Grid Technologies (2022 IEEE ISGT Asia). https://hdl.handle.net/10356/161946 https://ieee-isgt-asia.org/program-overview/oral-session-schedule/wednesday-2-nov-author-listing/ en © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. application/pdf
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::Electric power
Engineering::Environmental engineering::Water supply
Interdependency
Multi-Objective
Optimization Model
Power-Water Systems
Resilience
spellingShingle Engineering::Electrical and electronic engineering::Electric power
Engineering::Environmental engineering::Water supply
Interdependency
Multi-Objective
Optimization Model
Power-Water Systems
Resilience
Yang, Yesen
Lo, Edmond Yat-Man
Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
description The interdependencies between the power distribution system (PDS) and water distribution system (WDS) are well-acknowledged in resilience analysis. Such interdependencies can hinder the post-disruption service restoration of both systems, and prolong the overall recovery process. Aimed at handling these issues, this paper proposes a resilience-oriented modeling and co-optimization method for coupled power and water (CPW) systems. The model integrates critical features of modern CPW systems, such as microgrids and distributed generations for power and water treatment plants, pumps, and tanks, for the water side. The interdependencies are extracted and formulated from mutual demand aspects. Further, a multiobjective optimization is presented to simultaneously reduce the loss of power load (LOPL) and loss of water load (LOWL). Finally, the method is tested on a coupled 33-bus power and 25-node water system and the result demonstrates the effectiveness of the proposed model and algorithm.
author2 Interdisciplinary Graduate School (IGS)
author_facet Interdisciplinary Graduate School (IGS)
Yang, Yesen
Lo, Edmond Yat-Man
format Conference or Workshop Item
author Yang, Yesen
Lo, Edmond Yat-Man
author_sort Yang, Yesen
title Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
title_short Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
title_full Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
title_fullStr Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
title_full_unstemmed Resilience-oriented modeling and co-optimization for coupled power and water distribution systems
title_sort resilience-oriented modeling and co-optimization for coupled power and water distribution systems
publishDate 2023
url https://hdl.handle.net/10356/161946
https://ieee-isgt-asia.org/program-overview/oral-session-schedule/wednesday-2-nov-author-listing/
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