Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables
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...
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sg-ntu-dr.10356-1690062023-06-26T08:26:08Z Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables Yang, Yesen Li, Zhengmao Mandapaka, Pradeep V. Lo, Edmond Yat-Man School of Civil and Environmental Engineering Interdisciplinary Graduate School (IGS) Institute of Catastrophe Risk Management Engineering::Civil engineering Interdependency Critical Infrastructure 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. National Research Foundation (NRF) This research is supported by the National Research Foundation Singapore (NRF) under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. 2023-06-26T08:26:08Z 2023-06-26T08:26:08Z 2023 Journal Article 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-. https://dx.doi.org/10.1016/j.apenergy.2023.120953 0306-2619 https://hdl.handle.net/10356/169006 10.1016/j.apenergy.2023.120953 2-s2.0-85150228703 339 120953 en CREATE Applied Energy © 2023 Published by Elsevier Ltd. All rights reserved. |
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Engineering::Civil engineering Interdependency Critical Infrastructure Yang, Yesen Li, Zhengmao Mandapaka, Pradeep V. Lo, Edmond Yat-Man Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
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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. |
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School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Yang, Yesen Li, Zhengmao Mandapaka, Pradeep V. Lo, Edmond Yat-Man |
format |
Article |
author |
Yang, Yesen Li, Zhengmao Mandapaka, Pradeep V. Lo, Edmond Yat-Man |
author_sort |
Yang, Yesen |
title |
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
title_short |
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
title_full |
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
title_fullStr |
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
title_full_unstemmed |
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
title_sort |
risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables |
publishDate |
2023 |
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https://hdl.handle.net/10356/169006 |
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1772828986500448256 |