Abstract
Suitable optimal scheduling model is essential to ensuring water-supply pump stations working in high efficiency area. Based on accurate poly-fitted water pump characteristic curves, an optimal scheduling models of water-supply pump stations based on its least shaft power is proposed here. Since the constraints here are mixed with inequality, nonlinear conditions, continuous variables and discrete variables, an improved adaptive genetic algorithm(IAGA) is developed and used here, which is equipped with adaptive crossover and mutation operators based on sigmoid function, as well as adaptive penalty function factor using simulated annealing. The experimental results, comparing with the results based on simple genetic algorithm, show that pump optimal operation can ensure that all the pumps would operate in high efficiency area and meanwhile, reduce electricity energy effectively, which, as a result, implies that IAGA is more suitable for optimal scheduling of water-supply pump station.
Published Version
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