Chapter
May 31, 2018
World Environmental and Water Resources Congress 2018

Resilience Computations for Optimal Operation of Water Distribution Systems

Publication: World Environmental and Water Resources Congress 2018: Hydraulics and Waterways, Water Distribution Systems Analysis, and Smart Water

ABSTRACT

A methodology for computation of system resilience for the real-time operation of water distribution systems (WDS) under critical conditions of limited water and limited electrical energy is presented. Critical emergencies in WDS operations can result from extreme drought, electric grid failure, and other severe natural conditions. The basic objective of this study is to apply the concepts of system resilience within an optimization-simulation model for real-time optimal operation of water distribution systems under conditions of limited water and energy availability. The modeling approach interfaces a genetic algorithm optimization procedure with the WDS hydraulic simulator (EPANET) in the framework of an optimal control problem. The methodology is implemented within the framework of MATLAB. An example WDS is used to demonstrate the application of the resilience concepts to assess the performance.

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ACKNOWLEDGEMENTS

This research is supported by the U.S. National Science Foundation (NSF) Project 029013-0010. CRISP Type 2 – Resilient Cyber-Enabled Electric Energy and Water Infrastructures Modeling and Control under Extreme Drought.

References

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Khatavkar, P. and Mays, L. W. (2017 a). “Model for the Real-Time Operation of Water Distribution Systems under Limited Power Availability.” In World Environmental and Water Resources Congress 2017 (pp. 171-183), May 21 – 25, Sacramento, CA: ASCE.,
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Go to World Environmental and Water Resources Congress 2018
World Environmental and Water Resources Congress 2018: Hydraulics and Waterways, Water Distribution Systems Analysis, and Smart Water
Pages: 357 - 369
Editor: Sri Kamojjala, Las Vegas Valley Water District
ISBN (Online): 978-0-7844-8142-4

History

Published online: May 31, 2018

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Authors

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Puneet Khatavkar [email protected]
Graduate Student, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85257-5306. Email: [email protected].
Larry W. Mays [email protected]
Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85257-5306. Email: [email protected].

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