Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/175005
Title: Enhancing resilience of reconfigurable power-water systems with mobile distributed generators and high-proportional renewables
Authors: Yang, Yesen
Li, Zhengmao
Zhang, Guangxiao
Costa, Alberto
Lo, Edmond Yat-Man
Keywords: Engineering
Issue Date: 2024
Source: Yang, Y., Li, Z., Zhang, G., Costa, A. & Lo, E. Y. (2024). Enhancing resilience of reconfigurable power-water systems with mobile distributed generators and high-proportional renewables. 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST), 1943-1948. https://dx.doi.org/10.1109/ICPST61417.2024.10602368
Conference: 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST)
Abstract: The intertwined interdependencies existing in power-water systems (PWS) increase the risk of cascading failures during post-interruption scenarios and affect the overall resiliency. Towards a more resilient operation of damaged PWS, this paper presents a resilience enhancement methodology to improve serviceability with mobile distributed generators (MDGs) and high-proportional renewables (HPR). First, the PWS is comprehensively modeled with component mechanisms and flow constraints. The interdependencies, including the power needs for water components, are modeled at component level. Second, various resources, such as extensively installed solar HPR units and MDGs, are coordinated to supply damaged PWS and reduce unsupplied loads. Reconfigurability of power distribution networks is incorporated in the proposed method. It is to adjust PDN topology by coordinating the behavior of switches and leverage HPR and MDG for optimally allocating energy. Third, the model and enhancement measures are formulated into mixed-inter linear programming to facilitate effcient solving. The developed method is applied to a benchmark PWS with 33 power buses and 25 water nodes. The simulation results demonstrate the effectiveness of our method.
URI: https://hdl.handle.net/10356/175005
URL: https://icpst.org/
DOI: 10.1109/ICPST61417.2024.10602368
Schools: Interdisciplinary Graduate School (IGS) 
School of Civil and Environmental Engineering 
Research Centres: Institute of Catastrophe Risk Management (ICRM) 
Rights: © 2024 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/ICPST61417.2024.10602368.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IGS Conference Papers

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