Real-time operational response methodology for reducing failure impacts in water distribution systems
Mahmoud, H; Kapelan, Z; Savic, D
Date: 7 May 2018
Article
Journal
Journal of Water Resources Planning and Management
Publisher
American Society of Civil Engineers
Publisher DOI
Abstract
This paper presents a methodology for developing efficient and effective operational, short time response to an unplanned failure event (e.g. a pipe burst or equipment failure) in a water distribution system (WDS). The proposed automated response methodology consists of isolating the failure event followed by the recovery of the affected ...
This paper presents a methodology for developing efficient and effective operational, short time response to an unplanned failure event (e.g. a pipe burst or equipment failure) in a water distribution system (WDS). The proposed automated response methodology consists of isolating the failure event followed by the recovery of the affected system part by restoring the flows and pressures to normal conditions. The isolation is typically achieved by manipulating the nearby on/off valves. The recovery, which is the focus of this work, involves selecting an optimal combination of suitable operational interventions from a number of possible choices with the aim to reduce the negative impact of the failure (e.g. volume of water undelivered to consumers) over a pre-specified time horizon. The intervention options considered here include valve manipulations, changing the pressure reducing valve’s (PRV) outlet pressure, and installation and use of a temporary overland bypasses from a nearby hydrant(s) in an adjacent, unaffected part of the network. The optimal mix of interventions is identified by using a multi-objective optimization approach driven by the minimization of the negative impact on the consumers and the minimization of the corresponding number of operational interventions (which acts as a surrogate for operational costs). The above methodology has been applied to a real world water distribution network of C-Town. The results obtained demonstrate the effectiveness of the proposed methodology in identifying the Pareto optimal intervention strategies that could be ultimately presented to the control room operator for making a suitable decision in near real time.
Engineering
Faculty of Environment, Science and Economy
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