Abstract

This research aims to optimize the operation of pumping stations in water distribution networks (WDNs). Two main objectives are considered: minimizing the pumping energy costs through the scheduling of pumping stations by means of variable-speed pumps and, maximizing the reliability of pumping stations or storage tanks. Accordingly, a multi-objective ant colony optimization is developed in Visual Studio C ++. This optimization algorithm is directly linked to EPANET2.0 for two case studies including Anytown and two loops WDNs. This study reveals that there is a strong correlation between the number of nodes and pumps, and the range of the hydraulic reliability in the solutions of pareto-optimal front. In scheduling of pumping station operation, a wider range of reliability can be provided in storage tanks compared to pumping stations. Based on WDN’s requirements, decision makers can choose a solution with the desired reliability of pumping stations and storage tanks and the relevant pumping energy costs.

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