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Improved brute-force search method based train vehicle energy-saving operation method

An operation method and an improved technology, applied in the direction of control/regulation systems, instruments, simulators, etc., can solve problems such as difficult to obtain accurate model solutions, describe train running process, difficult mathematical models, etc., to achieve small algorithm size, reduce The effect of train energy consumption and reduction of iteration time

Inactive Publication Date: 2017-12-26
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0003] Train energy-saving operation control is a typical multi-objective and multi-constraint optimization control problem, and it is difficult to establish an accurate mathematical model to describe the train operation process
Traditional mathematical methods, such as numerical analysis, optimal control theory, etc., are difficult to obtain the exact solution of the model, even if the iterative method is used, only the approximate solution of the model can be obtained, and it is easy to fall into a local optimal situation

Method used

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  • Improved brute-force search method based train vehicle energy-saving operation method

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Embodiment 1

[0039] Based on the actual data of Beijing Yizhuang Line, the optimization simulation research of bicycle energy saving is carried out. The Beijing Yizhuang Line is independently developed, designed and built by Beijing Jiaotong University and Beijing Traffic Control Company. It has a total length of 23.3km. The main line includes 13.8km of ground lines and 8.7km of underground tunnel lines. There are 8 aboveground stations and 6 underground stations on the whole line.

[0040] The section between Rongjing East Street and Wanyuan Street on the Yizhuang Line is selected. The distance between the two stations is 1280m, and the running time is 98s. From Rongjing East Street to Wanyuan Street is the upward direction of the line. The slope data between lines is shown in Table 1, and the speed limit conditions between lines are shown in Table 2.

[0041] Table 1 Slope parameters from Rongjing East Street to Wanyuan Street

[0042]

[0043] Table 2 Speed ​​Limit Conditions from ...

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Abstract

The invention discloses an improved brute-force search method based train vehicle energy-saving operation method. The method includes steps of setting train operation line data and train parameters and establishing a train operation power consumption calculation model; taking train traction energy consumption and interval travel time as optimization targets, establishing a train operation energy-saving optimization model; processing an objective function and constraint conditions through a goal constraint method and converting a multi-target problem to a single-target problem; processing the constraint conditions, narrowing a solution search range and processing the converted single-target problem through a brute-force search method; selecting a train operation strategy with punctuality and the highest energy conversation rate according to the set train interval travel time and the interval distance, and obtaining a corresponding speed curve and energy consumption curve. According to the invention, regular energy conservation optimization precision of a train is improved effectively. Besides, the optimization speed is high and train energy consumption is reduced.

Description

technical field [0001] The invention belongs to the technical field of train operation control, in particular to an energy-saving operation method for a single train based on an improved violent search method. Background technique [0002] With the acceleration of urbanization and the rapid increase in the number of urban residents, people's daily travel needs have gradually become an important part of the city. A large number of private cars and buses pour into the city, aggravating road congestion and urban air pollution. Frequent traffic accidents even directly threaten the personal safety of residents. As a new type of urban transportation vehicle, the subway has the advantages of large carrying capacity, no occupation of urban surface space, punctuality, high efficiency, and environmental protection. It is welcomed by major cities and develops extremely rapidly. [0003] Train energy-saving operation control is a typical multi-objective and multi-constraint optimal con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 曹康邢宗义
Owner NANJING UNIV OF SCI & TECH
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