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A MINLP-based approach for the design-for-control of resilient water supply systems

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Title: A MINLP-based approach for the design-for-control of resilient water supply systems
Authors: Ulusoy, A-J
Pecci, F
Stoianov, I
Item Type: Journal Article
Abstract: The improvement in resilience of water supply systems by increasing their redundancy, either in energy or in connectivity, is a common priority when doing rehabilitation and expansion. This however can come at the cost of other aspects of network performance, such as leakage management. In this work, we consider the designfor-control problem of adding new connections (from a predefined set of candidate pipes) to water supply systems to improve their resilience to failure events while minimizing the impact on leakage management under normal operating conditions. We present a mixed-integer non-linear programming formulation of the problem of optimal link addition for the minimization of average zone pressure, a surrogate measure of pressure dependent leakage. We implement a method based on spatial branch-and-bound to solve the problem on a case study network from the literature and an operational network part of an urban water system in the UK. Finally, we validate the improvement in network resilience resulting from the addition of new connections by performing an a posteriori critical link analysis, using the hydraulic resilience measure of reserve capacity.
Issue Date: 1-Sep-2020
Date of Acceptance: 3-Oct-2019
URI: http://hdl.handle.net/10044/1/74385
DOI: 10.1109/JSYST.2019.2961104
ISSN: 1932-8184
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 4579
End Page: 4590
Journal / Book Title: IEEE Systems Journal
Volume: 14
Issue: 3
Copyright Statement: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/P004229/1
Keywords: 0906 Electrical and Electronic Engineering
Operations Research
Publication Status: Published
Online Publication Date: 2020-01-13
Appears in Collections:Civil and Environmental Engineering
Faculty of Engineering