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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Crawley, P.D., Dandy, G.C., 1993. Optimal operation of multiple-reservoir system.J. Water Resour. Plng. and Mgmt., ASCE,119(1):1–7.
Gordlberg, D.E., 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison Wesley, MA.
Liu, G.H., Cheng, W.P., Zheng, G.J., 2003. Application study of successive quadratic programming in optimal schedule of multi-souses water distribution network.J. Hydr. Engrg., (2):84–89 (in Chinese).
Nitavattananon, V., Sadowski, E.C., Quimpo, R.G., 1996. Optimization of water supply system operation.J. Water Resour. Plng. and Mgmt., ASCE,122(5):374–384.
Ormsbee, L.E., Reddy, S.L., 1995. Nonlinear heuristic for pump operation.J. Water Resour. Plng. and Mgmt., ASCE,121(4):302–309.
Sakarya, B.A., Mays, L.W., 2000. Optimal operation of water distribution pumps considering water quality.J. Water Resour. Plng. and Mgmt., ASCE,126(4):210–220.
Sun, Y.H., Yeh, W.W.G, Hsu, N.S., Louie, P.W.F., 1995. Generalized network algorithm for water-supply-system optimization.J. Water Resour. Plng. and Mgmt., ASCE,121(5):392–398.
Wang, X.P., Cao, L.M., 2002. Genetic Algorithm—Theory, Application and Programming. Xi'an Jiaotong University Press, Xi'an (in Chinese).
Yeh, W.W.G., Becker, L., Hua, S.Q., Wen, D.P., Liu, J.M., 1992. Optimization of real-time hydrothermal system operation.J. Water Resour. Plng. and Mgmt., ASCE,118(6):636–653.
Yu, T.C., 2004. Optimal Operation of Water Distribution Systems. Ph.D Thesis, Zhejiang University, Hangzhou (in Chinese).
Yu, T.C., Liu, J.Q, Zhang, T.Q., 2005. State model for water distribution network based on improved SVM.J. Zhejiang Univ. Engrg. Sci.,39(6):858–862 (in Chinese).
Author information
Authors and Affiliations
Corresponding author
Additional information
Project (No. 50078048) supported by the National Natural Science Foundation of China
Rights and permissions
About this article
Cite this article
Yu, Tc., Tu-qiao, Z. & Xun, L. Optimal operation of water supply systems with tanks based on genetic algorithm. J. Zheijang Univ.-Sci. A 6, 886–893 (2005). https://doi.org/10.1631/jzus.2005.A0886
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1631/jzus.2005.A0886