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 |
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creator | 俞亭超 张土乔 李洵 |
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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recordid | cdi_wanfang_journals_zjdxxb_e200508015 |
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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