The water supply pipe network system of mountain city has the characteristics of complex landform and big elevation difference,large extension of pipe network,large variation coefficient of water use and so on.Therefore,its water supply network system is often adjusted according to its topographic condition.This is because the head tank can adjust water supply volume within a day so as to ensure that the pumping station could supply the pipe network water evenly,reduce the peak flow of the trunk,cut down the user’s water pressure fluctuations,and decrease the diameter of the water pipes and dry pipes.Compared with the unadjusted structural pipe network,the difference between the peak and the valley of electricity tariff could lessen the electricity demand of the pumping station,so as to reduce the construction and operation cost of the mountain city water supply network system.In this paper,the characteristics and operation methods of mountain city’s water supply network system were studied.The main work and conclusions are as follows:Considered minimum reduced value of annual cost in pipe network system as objective function,the optimal model of tree-shaped pipe network in head tank ahead of network was set up,the optimization model of tree-like pipe network in head tank was established,and the optimization model of tree-like pipe network in head pool was founded.The artificial bee colony algorithm was used to calculate the model,and the feasibility and applicability of the model were verified by the corresponding engineering examples respectively.According to the characteristics of the circular river network in mountain city,the basic model of the optimization model was improved,and the annual conversion cost of the high pool was added to the original basic formula,and the influence of the peak and valley price on the optimization model was also taken into account.Finally,the optimization model of high water pool in mountain city ring network system was obtained.The optimization model installed in the head tank in the mountain city ring network system was a large-scale mixed discrete variable solution problem,so it was hard to calculate it directly and get the optimal solution.Therefore,this paper divided the optimization problem into two sub-problems,namely,the layout optimization problem and the optimization problem of the pipe network system.The optimization parameters of the pipe network system were solved by the artificial bee colony algorithm.By example verification,this paper validated the applicability of the optimization model of the high-level pool setting in the mountain city’s loop system,and127,880.3 RMB was saved yearly by installing head tank in the old city of Sichuan province.The head tank of water supply system not only produced a greater economic benefits,but also improved the overall system water supply reliability by joint water supply between head tank and secondary pump station of water works. |