Abstract:

To cope with the problem of low efficiency of pump station due to unreasonable combination of the pumps, a mathematic model for optimizing the combination is proposed leading to minimal power consumption. The constraining conditions in the model are the pump head, total water supply and rotation speed of the pumps. A simulated annealinggenetic algorithm is used to determine the number of pumps in operation, the rotation speed and the flow rate of each pump when the pump station is in an optimal state. The infeasibility degree is introduced into the algorithm to choose a suitable result from every population and to balance the demand between the target function and the constraining conditions. The result of an example shows feasibility of the present algorithm for pump station optimization.

Key words: genetic algorithms (GA); simulated annealing (SA); pumping station; optimization