Variable time step modeling method based on refined oil optimized pump distribution

Abstract

The invention discloses a variable time step modeling method based on refined oil optimized pump distribution, and relates to a pipe network oil transportation technology. The scheme is provided for solving the problem that in the prior art, a pump distribution scheme is not ideal. The method comprises the steps: obtaining all basic information; calculating the arrival time of the oil head between adjacent oil transportation batches by using each piece of information, and adding time step division; calculating the hydraulic power condition along the pipeline to judge whether each station yard is out of limit or not; and judging whether the pump distribution scheme of the main delivery pump is in a state that the operating cost of the whole-line oil delivery pump is minimum or not under the condition that the pressure does not exceed the limit, and if so, determining a pump distribution model by taking the current pump distribution scheme as an optimal scheme. The method has the advantages that the minimum throttling of the whole product oil pipe network can be realized through the pump starting scheme after the decision is optimized, the power generation cost of the main delivery pump is reduced to the greatest extent, and the purposes of saving cost and reducing energy consumption are realized.

Description

technical field [0001] The invention relates to pipeline oil transportation technology, in particular to a variable time step modeling method based on optimized distribution of refined oil pumps. Background technique [0002] With the rapid development of various industries in China, the demand for refined oil has increased significantly. Traditional transportation methods of refined oil such as railways, highways, and waterways have problems such as seasonal constraints, high transportation costs, and long time consumption. Pipeline transportation has the advantages of large transportation volume, small footprint, less environmental pollution, and low loss. Pipeline transportation of refined oil products has gradually become the mainstream transportation method for domestic and foreign refined oil transportation. Domestic complex product oil pipelines with long distances, large flows, and multiple unloading points have been put into operation one after another. [0003] In...

AI Technical Summary

Problems solved by technology

If each period uses a 0-1 variable (0 means stop the pump, 1 means start the pump) to represent the start and stop of a pump, then the number of 0-1 variables is equal to the number of divided time steps multiplied by the total number of pumps , at this time, there will be a problem that it is difficult to balance the model accuracy and solution efficiency: If the selected step size is too large, that is, the number of time steps is small, the decision-making accuracy will be low, and the start and stop changes of the pump cannot be fully reflected; if the selected step size is too small , that is, the number of time steps is large. Since the start-stop state of the pump needs to be represented by a 0-1 variable at the decision-making moment of starting and stopping the pump in the optimization model, the model is too large and difficult to solve in the modeling process of optimizing the distribution of pumps for refined oil products. , so it is particularly important to choose a reasonable time

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