Random Walks Partitioning and Network Reliability Assessing in Water Distribution System

Tianwei Mu, Yan Lu, Haoqiang Tan (), Haowen Zhang and Chengzhi Zheng
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Tianwei Mu: Donghua University
Yan Lu: Taizhou University
Haoqiang Tan: Taizhou University
Haowen Zhang: Taizhou University
Chengzhi Zheng: Guangdong Yuegang Water Supply Co.Ltd

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 8, No 3, 2325-2341

Abstract: Abstract A novel network partition model is presented within the water distribution system (WDS). Firstly, random walk community detection (RWCD) is employed to divide WDS into different partitions concerning the average pressure of nodes. Then, network reliability is assessed based on hydraulic reliability estimation (HRE), mechanical reliability estimation (MRE), flow entropy function (FEF), and network resilience (NR), via optimizing boundary pipes by the non-dominated sorting genetic algorithm-II (NSGA-II). Finally, pressure-reducing valves (PRVs) are set to pipes for acquiring optimized partitions. The Open Water Analytics (OWA) toolbox and Matlab-2018b is adopted as a hydraulic calculation tool for these extended period simulations (EPS). Seven cases of WDSs were used to verify the practicability of this model. The results demonstrate that network reliability is improved effectively after partitioning and optimizing. Graphical Abstract

Keywords: Random walk community detection (RWCD); Network reliability; Water distribution system (WDS); Multi‐objective optimization; Non‐dominated sorting genetic algorithm-II (NSGA-II) (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-021-02793-8

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