Application Research On Water Distribution Network Hydraulic Modeling And Optimal Scheduling

As the economy develops fast, the related department in our country has increased its input to urban water supply system, and large amount of money is invested for water supply nets’the transformation and expansion. However, the management level for water supply system in our country is relatively lower, the traditional dispatching mode that depends on experiences can not fulfill citizens’increasing demand in water quality. As a result, finding a scientific and reasonable management mode is the necessary approach for further development in our country. The article goes with the study of water supply system forecast model, hydraulic calculation model and optimal scheduling model, by the method of neural networks, the theory of portfolio optimization, and genetic algorithms. The author takes Jishou City as an example for the study. The main content goes as follows:(1)The forecast of water consumption:according to the optimization theory of combination weight coefficient, the author combines BP neural network method and mobile arithmetic mean method, and makes the mixed forecast model. The forecast respectively goes with methods of mobile arithmetic mean method, BP neural network method, neural network--mobile arithmetic mean mixed method, on the basis of Jishou’s water consumption. The outcome shows that the combined method is better than the other.(2) Micro hydraulic modeling:the hydraulic model of water supply system is generated with the basic data provided by Jishou water company. After checking the precision requirements, the author analyses water supply nets’operating conditions in Jishou. By analyzing the highest hour working condition in the maximum day, the author finds that insufficient water supply pressure in certain areas and large head loss of some pipe are the main problems.(3) Macro hydraulic modeling:improvement is made for the shortage commonly existed in Demoyer macro hydraulic model, and it’s tested with the water supply system in Jishou City. The calculation results reveal that the improved model has a considerable increase in calculation accuracy. Therefore, the improvement is proved effective.(4) Two-level optimized scheduling model:according to the feature of two kinds’ optimized model and the present situation of our country’s water supply system, the author considers that the two-level optimized scheduling model suits the situation in China better. As a result, this article introduces the modeling steps of two-level optimized scheduling model in detail, and gets the solution by the method of genetic algorithms.(5) Case analysis:at the end of the article, the author takes the water supply system as the case, makes optimal scheduling and compares the electricity consumption between before and after the scheduling. The data shows, the water-saving effect of Jishou’s water supply system is obvious after optimal scheduling. Electricity consumption can save1287kWh per day, with the energy-saving rate of9.66%, which would bring lots of economic benefits to the water company.