Infeasibility Maps: Application to the Optimization of the Design of Pumping Stations in Water Distribution Networks

The design of pumping stations in a water distribution network determines the investment costs and affects large part operating network. In recent years, it was shown that is possible to use flow optimize both concurrently; however, methodologies proposed literature are not applicable real-sized networks. these cases, space solutions huge, small number feasible exists, each evaluation objective function implies significant computational effort. To avoid this gap, new method reduce search problem station design. This based on preprocessing determine advance maximum minimum pump could provide. According purpose, area infeasibility limited by ranges decision variable where impossible meet hydraulic constraints model. removed from with which algorithm works. demonstrate benefits using technique, case study presented, pseudo-genetic (PGA) implemented resolve optimization Finally, results show great improvement PGA performance, terms speed convergence quality solution.