Method for establishing water supply pipe network optimal scheduling model serving leakage control

Abstract

The invention discloses a method for establishing a water supply pipe network optimal scheduling model serving leakage control. The method belongs to the technical field of urban water supply pipe network optimal scheduling, and comprises the following steps: 1) dividing the water supply amount of a pipe network into an actual water demand amount and a leakage water amount of each water consumption point, and setting the actual water demand amount as the initial water demand amount of each node without considering the leakage water amount; 2) establishing a direct optimal scheduling model of the water supply pipe network, and solving an optimal operation scheme of the pipe network under the current water demand condition by using a genetic algorithm; 3) calculating the leakage water amountof the pipe network under the current scheme to obtain the leakage amount and the leakage rate of the current pipe network; 4) distributing the leakage water amount of each pipe section to a pipe section associated node, and updating the water demand of the node; and 5) comparing the change of the leakage water quantity, stopping calculation and outputting an optimization scheme when the adjacentchange value is smaller than the allowable change value, otherwise, returning to the step 2), and carrying out the steps 2) to 5) on the pipe network after the node water demand is updated, and circulating until the change value of the leakage water quantity meets the requirement of the allowable change value.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching of urban water supply pipe networks, in particular to a method for establishing an optimal dispatching model of a water supply pipe network serving to control leakage. Background technique [0002] The arrangement of monitoring points of the water supply pipe network refers to the installation of a certain number of pressure and flow sensors in the water supply pipe network, which are used for pipe network model calibration, operating condition detection, pressure management, and provide data support for pipe network scheduling analysis. At present, the optimal arrangement of monitoring points in the water supply network mainly includes fuzzy clustering and sensitivity analysis. [0003] The optimal scheduling of the water supply network is to formulate a scientific and reasonable operation scheduling plan based on the operating status data of the pipeline network under the premise of ...

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Problems solved by technology

Scholars continue to make improvements in algorithms and calculation time, but the above objective functions are limited to the minimization of pumping station operating costs, without taking into account the economic losses caused by leakage, and pipeline network leakage is currently the A major problem in the operation and management of the water supply network, the economic losses caused by it are not optimistic, and should also be considered within the control objectives of the network optimization operation plan

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