Visual dynamic simulation and optimization of Zhangjiuhe diversion project

Abstract

With the aim of visualizing the real-time simulation calculation of water delivery system (WDS), a structural drawing-oriented (SDO) simulation technique was presented, and applied to Zhangjiuhe Diversion Project, which is a long-distance water delivery system constructed for drawing water from the Zhangjiuhe River to Kunming city. Taking SIMULINK software as simulating platform, the technique established a visual dynamic simulation model for the system. The simulation procedure of the system was simplified, and the efficiency of modeling was also enhanced according to the modularization and reutilization of the simulation program. Furthermore, a self-optimization model was presented. Based on the digital simulation models, the on line controlled optimization link was added, and the input data can be continually optimized according to the feedback information of simulating output. The system was thus optimized automatically. Built upon MATLAB software, simulation optimization of the Zhangjiuhe Diversion Project was achieved, which provides a new way for the research of optimal operation of WDS.

Keywords

Zhangjiuhe Diversion Project / structural drawing-oriented technique / digital simulation / simulation optimization / visualization

References

[1] Huang J., Chen L., Sun D.. Digital Simulation of Electric Power System[M]. 1998, Beijing: China Electric Power Press.

[2] Houghtalen Robert J., Loftis Jim C.. Improving water delivery system operation using training simulators[J]. Journal of Water Resources Planning and Management, 1989, 115(5): 616-629.

[3] Okumura, Toshihiko, Shinozuka et al. Serviceability analysis of Memphis water delivery system[C]. In: Proceedings of the 3rd US Conference on Lifeline Earthquake Engineering. 1991. 22–23.

[4] Shi J., Cai W.. Algorithm and System of Visualization in Scientific Computing[M]. 1996, Beijing: Science Press.

[5] Lei S., Qin Q., Guo Y.. Self-optimization and simulation and its application in the Project of South-to-North Water Transfer[J]. Journal of Hydraulic Engineering, 1989, 1(5): 1-13.

[6] Richa B. C., Gharbi Use of reservoir simulation for optimizing recovery performance[J]. Journal of Petroleum Science and Engineering, 2004, 42(1): 183-194.

[7] Ji S., Gao H., Nie J.. Simulant optimization for water transport planning[J]. Journal of Dalian University of Technology, 1991, 31(2): 183-192.

[8] Wang M.. Simulink 4 Modeling and Dynamic Simulation[M]. 2002, Beijing: Electronics Industry Publishing House.

[9] Wang L.. Preliminary Design Supplement of Zhangjiuhe Water Delivery Project in Kunming City[R]. 1999, Kunming: Hydroelectric Investigation and Design Institute.

[10] Yang X., Wang F., Feng Y.. The review of simulation optimization theory and techniques[J]. Computer Simulation, 2000, 17(5): 1-5.

[11] Wang L., Zhang L., Zheng D.. Advances in simulation optimization[J]. Control and Decision, 2003, 18(3): 257-262.