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Title: Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables
Authors: Yang, Yesen
Li, Zhengmao
Mandapaka, Pradeep V.
Lo, Edmond Yat-Man
Keywords: Engineering::Civil engineering
Issue Date: 2023
Source: Yang, Y., Li, Z., Mandapaka, P. V. & Lo, E. Y. (2023). Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables. Applied Energy, 339, 120953-.
Project: CREATE
Journal: Applied Energy
Abstract: Modern coupled power and water (CPW) systems exhibit increasing integration and interdependence, which challenges system performance to disasters and makes service restoration complex during post-disruption. Meanwhile, new technologies, such as small pumped-hydro storage (PHS) and rooftop renewables, are being widely installed and further deepen the interdependencies. To capture these features and improve overall performance, this paper proposes a coordinated restoration framework for a CPW system to respond to disruptions. The proposed CPW model comprises physical networks and mechanisms, considering available units, such as water desalination/treatment plants, pump stations and small PHS, in the water system, and rooftop renewables, distributed generators, in power system. The interdependencies are modeled through component-wise connections and consumer behavior, then grouped into three phases: production, distribution, and consumption. Aggregate service loss with respect to different consumer loads and time periods, is chosen as performance metric and to be minimized using network reconfiguration, energy/water dispatching, load curtailment, and operation management of components. A two-stage risk-averse stochastic programming is applied for reliable restoration and manage risks, to tackle the uncertainties in renewable power generations and water/power demands that affect method effectiveness. Finally, the method is implemented on a modified 33-bus/25-node CPW system, and the results demonstrate the effectiveness of the proposed restoration framework.
ISSN: 0306-2619
DOI: 10.1016/j.apenergy.2023.120953
Schools: School of Civil and Environmental Engineering 
Interdisciplinary Graduate School (IGS) 
Research Centres: Institute of Catastrophe Risk Management 
Rights: © 2023 Published by Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles
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