Genetic algorithm-based medium-speed magnetic levitation energy-saving running chart optimization method

Abstract

The embodiment of the invention provides a genetic algorithm-based medium-speed maglev energy-saving running chart optimization method, which comprises the following steps of: 1, carrying out interval division on a medium-speed maglev line according to line speed limit, gradient, curve radius and arrangement of an auxiliary parking area; 2, on the premise of interval division, sequentially operating each column of medium-speed maglev trains according to a medium-speed maglev single-speed curve energy-saving optimization method under the conditions of fixed inter-station operation time division and departure interval to obtain an initial operation diagram of the medium-speed maglev trains; 3, utilizing a genetic algorithm to generate other distribution schemes of the inter-station operation time division and the departure interval; 4, constructing a medium-speed maglev energy-saving running chart optimization model, and calculating the total running energy consumption of each inter-station running time division and departure interval distribution scheme by using the medium-speed maglev energy-saving running chart optimization model; and 5, comparing the initial operation diagram of the medium-speed maglev train with the total operation energy consumption under other distribution schemes of the inter-station operation time division and the departure interval, and selecting the distribution scheme of the inter-station operation time division and the departure interval, which enables the total operation energy consumption to be minimum. According to the method, the train operation diagram energy-saving optimization problem with the total operation energy consumption of the medium-speed maglev train as the target is solved, the operation energy consumption of the medium-speed maglev train is reduced, and safe and energy-saving operation of the medium-speed maglev train is achieved.

Description

technical field [0001] The invention relates to the technical field of rail transit operation diagram optimization, in particular to a method for optimizing a medium-speed maglev energy-saving operation diagram based on a genetic algorithm. Background technique [0002] At present, in the field of maglev transportation, there are few studies on the optimization method of the energy-saving maglev train diagram. From the perspective of diagram conflicts, it is rarely considered from the perspective of reducing train operation energy consumption. However, the train diagram is the basic basis for the operation of medium-speed maglev trains and has a greater impact on train operation energy consumption. Therefore, in order to reduce the operating energy consumption of medium-speed maglev systems, reduce operating costs, and improve the competitiveness of medium-speed maglev trains in the rail transit industry, it is urgent to study the optimization method of medium-speed maglev t...

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Problems solved by technology

[0002] At present, in the field of maglev transportation, there are few studies on the optimization method of the energy-saving maglev train diagram. From the perspective of diagram conflicts, it is rarely considered from the perspective of reducing train operation energy consumption. However, the train diagram is the basic basis for the operation of medium-speed maglev trains and has a greater impact on train operation energy consumption.

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