Running speed optimization method for urban rail transit train

Abstract

According to the running speed optimization method for the urban rail transit, the energy-saving speed curve is short in calculation time and small in error through the coasting search method, and theoptimization precision of the running speed of an urban rail transit train is effectively improved; according to the method, optimization of the speed curve and the inter-station operation time is comprehensively considered, under the condition that the total operation time is not changed, the situation of sub-interval merging is considered, and the multi-station traction energy consumption is further reduced; according to the method, the adjustability of the speed is optimized for the train speed curve; the coasting starting point advancing step length can be self-defined, the advancing steplength is increased within the time error allowable range, the solving speed can be increased, and through the design, on the basis of safety and punctuality, rapid solving of the energy-saving trainoperation working condition and the working condition switching point can be achieved.

Description

technical field [0001] The invention belongs to the technical field of energy saving of urban rail trains, and in particular relates to a running speed optimization method of urban rail transit trains. Background technique [0002] Urban rail transit is popular because of its punctuality, frequency, convenience, comfort and speed. Therefore, in recent years, urban rail transit in my country has developed rapidly. As of the end of 2018, about 1,150 kilometers of new lines have been completed and put into operation in 2018, with a total operating mileage of about 6,000 kilometers and the number of operating cities reaching 36. Therefore, although the subway is known as a new generation of "green travel mode", its huge Energy consumption is also not to be underestimated. According to rough statistics, the electricity consumption of a regular 20km-long subway is about 100 million kilowatt-hours a year, and the cost of electric energy consumed by urban rail transit accounts for ...

AI Technical Summary

Problems solved by technology

However, the existing research uses intelligent methods such as genetic methods to solve the train manipulation sequence, and the solution scale is large and the speed is slow.

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