| Optimal operation of water supply systems with tanks based on genetic algorithm |
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| 作者姓名： | 俞亭超 张土乔 李洵 |
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| 作者单位： | [1]Department of Civil Engineering, Zhejiang University. Hangzhou 310027, China [2]Hangzhou Urban ＆ Rural Construction Design Institute, Hangzhou 310007, China |
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| 摘 要： | INTRODUCTION With increased urbanization and consumer de-mand, most water distribution systems and efficient scheduling of pump operation have become increas-ingly complex. Several optimization methods are used to find optimal pump schedules. Because of the complex water distribution systems, simple calcula-tions are no longer possible. The main methods used at present are linear programming (Crawley and Dandy, 1993), dynamic programming (Yeh et al., 1992; Nitivattananon et al., 1996), …
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| 关 键 词： | 水供给系统 优化设计 遗传算法 网络控制 蓄水池 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2005-05-10 |
Optimal operation of water supply systems with tanks based on genetic algorithm |
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| Yu?Ting-chao,Zhang?Tu-qiao,Li?Xun.Optimal operation of water supply systems with tanks based on genetic algorithm[J].Journal of Zhejiang University Science,2005,6(8):886-893. |
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| Authors: | Yu Ting-chao Zhang Tu-qiao Li Xun |
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| Institution: | 1.Department of Civil Engineering,Zhejiang University,Hangzhou,China;2.Hangzhou Urban & Rural Construction Design Institute,Hangzhou,China |
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| Abstract: | 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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| Keywords: | Water supply system Optimal operation Genetic algorithm Tank |
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