Subway train energy-saving optimization method based on improved genetic algorithm

A technology of improved genetic algorithm and optimization method, which is applied in the field of energy-saving optimization of subway trains based on improved genetic algorithm, can solve the problems of not considering the utilization of multi-vehicle regenerative energy, not considering the operating conditions of the train, and only considering the operating conditions.

Active Publication Date: 2019-07-05
GUANGXI UNIV +1
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The main problems in the existing research: (1) Some studies omitted some complex factors, such as ignoring the traction energy consumption of the traction force overcoming the friction force in the constant speed stage, ignoring the i

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  • Subway train energy-saving optimization method based on improved genetic algorithm
  • Subway train energy-saving optimization method based on improved genetic algorithm
  • Subway train energy-saving optimization method based on improved genetic algorithm

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[0060] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the invention, and these aspects of the invention can be practiced without these specific details.

[0061] Such as figure 1 As shown, according to an improved genetic algorithm-based energy-saving optimization method for subway trains of the present invention, the specific parameter settings of the present invention are simulated and calculated using Nanning Metro Line 1 as an example. Two trains are optimized for energy-saving in four stations and three sections. Some parameters are shown in Table 1.

[0062] Table 1: Partial parameter table

[0063]

[0064] Before optimizatio...

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Abstract

The invention discloses a subway train energy-saving optimization method based on an improved genetic algorithm, and the method comprises the steps of firstly, building a train energy consumption model according to the conservation of energy consumption, setting the constraint conditions, and solving a train energy-saving operation strategy through the improved genetic algorithm, wherein the operation strategy is concretely solved by the two stages of at the first stage, taking the speed, acceleration, time and the like of each working condition of a train as genes, combining the genes into achromosome, namely a solution, solving the speed and distance of a conversion point of each working condition, and determining an optimal operation curve; and at the second stage, solving the maximumoverlapping time of multi-train operation traction and braking, determining the regeneration energy utilization rate, and obtaining the optimal operation departure strategy of the train. The method isbased on the complex lines and conforms to the actual operation condition of the train, the adopted solving method is fast in speed, high in precision and complementary in length, the global searching capacity and the local searching capacity are fully utilized, and the total operation energy consumption of the subway train is effectively reduced with the Nanning subway line 1 as an example verification.

Description

technical field [0001] The invention belongs to the technical field of energy-saving optimization manipulation and control of urban rail transit vehicles, and in particular relates to an energy-saving optimization method for subway trains based on an improved genetic algorithm. Background technique [0002] Urban rail transit has attracted the favor of countries all over the world with its advantages of convenience, safety, comfort, and high efficiency. It has become an important trunk line of transportation in these modern metropolises. It not only relieves traffic pressure, but also realizes green travel. The operation of subway trains consumes a lot of energy. Therefore, it is of great significance to study the energy-saving optimization of subway trains. The main problems in the existing research: (1) Some studies omitted some complicated factors, such as ignoring the traction energy consumption of the traction force overcoming the friction force in the constant speed st...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12G06Q10/04
CPCG06N3/126G06Q10/04G06F30/20
Inventor 贺德强李珍贵陈滔陈彦君董庆杨严杰李先旺姚子锴
Owner GUANGXI UNIV
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