Hybrid Leakage Management for Water Network Using PSF Algorithm and Soft Computing Techniques

Aditya Gupta (), Neeraj Bokde () and K. D. Kulat ()
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Aditya Gupta: Visvesvaraya National Institute of Technology
Neeraj Bokde: Visvesvaraya National Institute of Technology
K. D. Kulat: Visvesvaraya National Institute of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 3, No 19, 1133-1151

Abstract: Abstract Reduction of leakages in water distribution system (WDS) is one of the major concerns for water industries. This paper presents a hybrid leakage reduction model using pressure management technique, performed by optimizing water storage level in the tank, along with optimized control and localization of pressure reducing valve (PRV) in water distribution system. Pattern Sequence-based Forecasting (PSF) algorithm is used for prediction of flow rate (demand) from the tank for next 48 h, to calibrate the future desire water storage level in the tank. A mathematical tank and pump simulation algorithm is proposed for optimization of water storage level in the tank. A modified reference pressure algorithm is proposed for efficient localization of pressure reducing valve. Multiobjective genetic algorithm (NSGA-II) is used for finding out the optimized operational control setting of the pressure reducing valve for leakage minimization. The proposed algorithm leads to better leakage reduction of 20.81% in modified benchmark WDS, with a reduced number of the pressure reducing valves. Constraints such as maintaining lower hydraulic failure index (

Keywords: Pressure management; Genetic algorithm; Water distribution system (WDS); Tank water storage level optimization; Leakage reduction (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11269-017-1859-3

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