Power Saving in Water Supply System with Pump Operation Optimization

The optimal model makes use of the latest advances in hybrid genetic algorithm (genetic simulated annealing, GSA) to automatically determine the least-cost pump operation for each pump station in large-scale water supply system while satisfying hydraulic performance requirements. When the simplified...

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Hauptverfasser: Shu, Shihu, Zhang, Dong, Liu, Suiqing, Zhao, Ming, Yuan, Yixing, Zhao, Hongbin
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Zhang, Dong
Liu, Suiqing
Zhao, Ming
Yuan, Yixing
Zhao, Hongbin
description The optimal model makes use of the latest advances in hybrid genetic algorithm (genetic simulated annealing, GSA) to automatically determine the least-cost pump operation for each pump station in large-scale water supply system while satisfying hydraulic performance requirements. When the simplified model was used instead of the microscopic model, the calculation time of optimal control model was greatly saved, but the precision was basically the same. The results of optimal control model for the water distribution system in city T showed that the simplified model for optimal control had remarkable advantage. Pump optimal operation reduce electricity energy by 6.04 percent compared with empirical operation.
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subjects Cities and towns
Constraint optimization
Energy consumption
Genetic engineering
Microscopy
Optimal control
Power engineering and energy
Power system modeling
Switches
Water resources
title Power Saving in Water Supply System with Pump Operation Optimization
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