Multi-train speed curve collaborative optimization method considering network loss

Abstract

The invention discloses a multi-train speed curve collaborative optimization method considering network loss. The method comprises the following steps: acquiring basic data of trains, lines, timetables, traction networks and the like; calculating an energy-saving speed curve of a preceding train running in each section, introducing a posterior train, dividing the running process of the multi-trainsystem into sub-sections, establishing a traction network equivalent circuit model based on multiple trains, establishing and solving a traction substation total energy consumption optimization model, and outputting a multi-train energy-saving optimization speed curve. According to the invention, the running speed curve of a single train in each section is optimized such that train traction energy consumption is reduced, the utilization rate of regenerative braking energy is increased by cooperatively optimizing speed curves of multiple trains, single-train optimization and multi-train optimization are combined, meanwhile, train traction energy consumption is reduced, the utilization rate of regenerative braking energy is increased, and finally the total energy consumption of a traction substation is reduced.

Description

technical field [0001] The invention belongs to the technical field of energy-saving control of urban rail trains, and in particular relates to a collaborative optimization method for energy-saving speed curves of multiple urban rail trains in consideration of network loss of traction networks. Background technique [0002] In recent years, my country's economy has developed rapidly, and the urbanization process has been accelerating. At the same time, the urban population is also increasing rapidly, which aggravates the situation of urban road traffic congestion. Urban rail transit has many advantages such as large capacity, high efficiency, low energy consumption, intensification, convenient ride, safety and comfort, etc. It is an important way to solve the problem of urban traffic congestion, realize the adjustment of urban spatial layout and the balanced development of the city. However, the urban rail transit system has a lot of energy-consuming equipment. With the rapi...

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Problems solved by technology

[0005] To sum up, it can be seen that reducing traction energy consumption and improving the utilization rate of regenerative braking energy has a huge energy-saving space for the operation of urban rail systems. However, due to the complexity of multi-vehicle collaborative optimization problems, there are almost no corresponding solutions in China at present. , and the transmission losses of electrical energy and regenerative braking energy on the traction grid have hardly been evaluated

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