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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue ( 8): 15-    DOI: 10.1631/jzus.2005.A0886
    
Optimal operation of water supply systems with tanks based on genetic algorithm
YU Ting-chao, ZHANG Tu-qiao, LI Xun
Department of Civil Engineering, Zhejiang University, Hangzhou 310027, China; Hangzhou Urban & Rural Construction Design Institute, Hangzhou 310007, 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.

Key words： Water supply system      Optimal operation      Genetic algorithm      Tank     
Received: 10 December 2004     
CLC:  TU991.3  
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YU Ting-chao
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LI Xun
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YU Ting-chao, ZHANG Tu-qiao, LI Xun. Optimal operation of water supply systems with tanks based on genetic algorithm. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 8): 15-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A0886     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I 8/15

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