Multiobjective consequent management of a contaminated network under pressure‐deficient conditions

Abstract

Discussing the drawbacks of demand‐driven network solvers in consequence management strategies, this article provides an integrated simulation‐optimization scheme for operational response management. It integrates a pressure‐driven network solver (PDNS) with the multiobjective honey bee mating optimization algorithm. Solutions to the proposed multiobjective optimization problem generate a set of nondominated optimal operational strategies that minimizes consequences of intentional physical attacks on water infrastructure systems. Each trial solution developed by the optimizer defines a new network topology because of modified modes of operation of nominated valves and hydrants. The PDNS finalizes the nodal pressure and modifies nodal withdraw for the identified trial solution. The PDNS is a modified version of the EPANET model, which handles the changes in network topology while simulating networks with pressure‐deficit condition. Performance of this approach is illustrated using previously tested examples. Sensitivity of the optimal strategies to mathematical definition of the objective function is discussed.