Technical Papers
Sep 8, 2018

Model for Real-Time Operations of Water Distribution Systems under Limited Electrical Power Availability with Consideration of Water Quality

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 11

Abstract

A new methodology is presented for real-time operation of water distribution systems (WDS) under the critical condition of limited electrical energy. The critical conditions could arise due to electric grid failure, extreme drought, or other severe conditions related to natural and artificial disasters such as sabotage, vandalism, terrorism, or war. The methodology presented considers both quantity and quality requirements of various water demands. The basic objective of optimizing water distribution system operations under limited availability of electrical power and/or water is to satisfy the required (requested) demand for service areas (or pressure zones) while meeting system pressure and water quality requirements of the system. The approach combines a genetic algorithm optimization procedure with the simulator EPANET in the framework of an optimal control problem. Combining the simulator and the genetic algorithm is accomplished within a MATLAB framework. The new methodology is illustrated using an example system incorporating both a WDS and electrical power distribution system (PDS) cooling-water system to evaluate the operations of the WDS under limited power supply conditions.

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Acknowledgments

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

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 11November 2018

History

Received: Dec 28, 2017
Accepted: May 28, 2018
Published online: Sep 8, 2018
Published in print: Nov 1, 2018
Discussion open until: Feb 8, 2019

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Authors

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Puneet Khatavkar, S.M.ASCE [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, F.ASCE [email protected]
Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85257-5306 (corresponding author). Email: [email protected]

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