Performance Analysis of PSO Algorithm for Setting the Hazen Williams Coefficients of Water Distribution Network Models

Gradually, with the urban population growth and development of cities, water distribution networks (WDNs) gain significant importance. So the need for computerized modeling of WDNs is felt more than ever to understand the behavior of these systems. The most important problem with modeling of WDNs is consistency between the calculated and measured data. Setting the coefficients of the model via measured data is necessary. Model parameters include Hazen-Williams coefficients in the pipes, base demand and demand pattern coefficients at the nodes. The calculated and measured data mainly include pressure head at nodes, tank levels, and flow in pipes, that can be considered either in steady state or in an extended period condition. The aim of this paper is to investigate the performance of PSO algorithm for setting the Hazen Williams coefficients of WDN Models. For this purpose, five models of the PSO algorithm and three models of the ACO algorithm were made. The proposed method tested on a two-loop test example and a real water distribution network.