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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creator | Shu, Shihu 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. |
doi_str_mv | 10.1109/APPEEC.2010.5449192 |
format | Conference Proceeding |
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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.</abstract><pub>IEEE</pub><doi>10.1109/APPEEC.2010.5449192</doi><tpages>4</tpages></addata></record> |
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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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