DocumentCode
2112218
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
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/APPEEC.2010.5449192
Filename
5449192
Link To Document