Title :
Power Saving in Water Supply System with Pump Operation Optimization
Author :
Shu Shihu ; Zhang Dong ; Liu Suiqing ; Zhao Ming ; Yuan Yixing ; Zhao Hongbin
Author_Institution :
Nat. Eng. Res. Center (South) of Urban Water Resources, Tongji Univ., Shanghai, China
Abstract :
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.
Keywords :
energy conservation; power system control; water supply; genetic simulated annealing; hybrid genetic algorithm; large-scale water supply system; microscopic model; optimal control model; power saving; pump operation optimization; water distribution system; Cities and towns; Constraint optimization; Energy consumption; Genetic engineering; Microscopy; Optimal control; Power engineering and energy; Power system modeling; Switches; Water resources;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5449192