Optimal operation of water supply systems with tanks based on genetic algorithm

In view of the poor water supply system's network properties, the system's complicated network hydraulic equations were replaced by macroscopic nodal pressure model and the model of relationship between supply flow and water source head. By using pump-station pressure head and initial tank water lev...

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Veröffentlicht in:Journal of Zhejiang University. A. Science 2005-08, Vol.6 (8), p.886-893
1. Verfasser: 俞亭超 张土乔 李洵
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description In view of the poor water supply system's network properties, the system's complicated network hydraulic equations were replaced by macroscopic nodal pressure model and the model of relationship between supply flow and water source head. By using pump-station pressure head and initial tank water levels as decision variables, the model of optimal allocation of water supply between pump-sources was developed. Genetic algorithm was introduced to deal with the model of optimal allocation of water supply. Methods for handling each constraint condition were put forward, and overcome the shortcoming such as premature convergence of genetic algorithm; a solving method was brought forward in which genetic algorithm was combined with simulated annealing technology and self-adaptive crossover and mutation probabilities were adopted. An application example showed the feasibility of this algorithm.
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source EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings
subjects 优化设计
水供给系统
网络控制
蓄水池
遗传算法
title Optimal operation of water supply systems with tanks based on genetic algorithm
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