Optamization of Energy Consumption in Pumping Station using by Darwin Scheduler model

Todays, in addition to the optimal hydraulic design of water distribution networks, the optimization of energy consumption in pumping station is more important for researchers. Due to the energy costs include the major part of operation cost at a water network, in this paper study the optimization of daily energy cost of pumping station with five parallel pumps, using by Darwing scheduler module at WaterGEMS V8i software based on Simple Genetic Algorithm (SGA) and Fast Messy Genetic Algorithm (FMGA). The hydraulic constraints include the minimum pressure and maximum pressure of junctions, maximum velocity of pipes and maximum number of economic off and on of pumps. The results showed that the energy costs reduced 15 and 10 percent using by Simple Genetic Algorithm (SGA) and Fast Messy Genetic Algorithm (FMGA), respectively, with regard to electricity tariffs in To optimize the performance was achieved without pumps.so we achive 10 and15persent reduce energy cost.