High-speed maglev train operation energy-saving optimization method and system and storage medium
A technology of maglev train and optimization method, which is applied in multi-objective optimization, design optimization/simulation, instrument and other directions, can solve problems such as difficulty in solving, dimension explosion, and many parameters and steps, and achieves good versatility, good energy saving, Easy to achieve effects
Pending Publication Date: 2021-12-21
CENT SOUTH UNIV +1
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Problems solved by technology
However, when solving complex lines, dynamic programming methods will encounter dimension explosion and difficult solutions. Genetic algorithm and its corresponding improved algorithm have many parameters and steps, and the scale of the problem has a great impact on the solution process.
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[0041] combine Figure 1~2 , the embodiment of the present invention is based on the firefly algorithm high-speed maglev train operation energy-saving optimization method, comprising the following steps:
[0042] Step 1. Initialize the basic data related to the optimization of the running curve of the high-speed maglev train;
[0043] The basic data involved in step 1 include line parameters, operating data and basic parameters related to the firefly algorithm;
[0044] The line parameters include: planned parking position, line slope data, line speed limit;
[0045] The operating data includes: planned running time;
[0046] The basic parameters related to the algorithm include: fluorescein value volatilization coefficient, individual brightness value, fluorescein value enhancement coefficient, maximum value of perception radius, and scaling factor of perception radius.
[0047] Step 2. Establish the corresponding train operating curve multi-objective optimization model, a...
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The invention discloses a high-speed maglev train operation energy-saving optimization method and system and a storage medium, and the method comprises the steps: firstly designing a train traction calculation model according to the operation process of a high-speed maglev train, constructing four energy-saving performance index quantization functions of energy consumption, time, parking points and stability, building a train operation curve multi-objective optimization model, and then solving the train energy-saving optimization problem by adopting a firefly algorithm. According to the method, energy-saving operation curves under different planned operation time conditions can be quickly searched according to information such as line gradient, speed limitation, train traction characteristics and braking characteristics in an interval, and meanwhile, the requirements for energy conservation, punctuality, safety and stability of high-speed maglev train running are met; the train operation can be guided according to the operation curve searched by the method, so that the train energy consumption can be effectively reduced.
Description
technical field [0001] The invention relates to the technical field of energy saving of high-speed maglev trains, in particular to an energy-saving optimization method, system and storage medium for high-speed maglev train operation. Background technique [0002] By the end of 2019, the operating mileage of my country's high-speed railways has exceeded 35,000 kilometers, accounting for about 70% of the length of global high-speed railway lines. Consumption is all related to train operation. At the same time, the running speed of high-speed maglev trains will reach 600km / h, and reducing the energy consumption of high-speed trains has become a necessary trend for green development. [0003] Energy saving of high-speed maglev trains is a very practical and complex problem. Most of the current research uses traditional algorithms such as dynamic programming and genetic algorithms to solve the problem, and builds a kinematic model based on classical mechanics analysis to analyze ...
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IPC IPC(8): G06F30/27G06N3/00G06F111/06G06F119/14
CPCG06F30/27G06N3/006G06F2111/06G06F2119/14
Inventor 赵思哲李蔚刘纪龙陈春阳冉治刘哲霖
Owner CENT SOUTH UNIV