Tramcar timing energy-saving operation optimization method and system based on double-layer algorithm

Abstract

The invention discloses a tramcar timing energy-saving operation optimization method and a tramcar timing energy-saving operation optimization system based on a double-layer algorithm. The tramcar timing energy-saving operation optimization method comprises the following steps that a tramcar kinematics model, a vehicle-mounted super capacitor bank model and an energy consumption calculation modelare established; a speed curve is combined and generated according to the speed command given value; tramcar single-interval operation optimization is carried out based on a multi-objective genetic algorithm, and a Pareto leading edge curve about time-energy consumption is generated; whole-line timing energy-saving operation optimization of the tramcar is carried out based on a dynamic programmingalgorithm, and the total operation energy consumption is reduced on the basis that the total operation time of the whole line is not changed. According to the method, the running energy consumption of the train section can be effectively reduced, the optimal configuration of the train running timetable can be realized, and the train running cost is reduced.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, in particular to a method for optimizing the timing and energy-saving operation of urban rail transit trains and a system thereof. Background technique [0002] Under the severe challenges of environmental protection, energy security and other issues, the rational use of new energy technologies and the development of green and fast urban transportation have become an important development strategy for my country's transportation industry. The development of new energy trams is to solve the above problems an effective method. For urban rail transit trains, their energy consumption costs account for about 50% of the total cost of urban rail transit, and operating energy consumption is the main part of energy consumption costs. Energy consumption is the research focus of reducing the total cost of urban rail transit, and it has very important practical significance for reducing the operat...

AI Technical Summary

Problems solved by technology

[0003]The energy-saving operation optimization of existing tram vehicles has the following problems: (1) The energy-saving operation optimization of existing tram vehicles usually only includes single-section operation optimization or One of the full-line optimization, without combining the two optimizations, the effect is not good; (2) When performing single-interval time-energy consumption dual-objective optimization, use the weighted sum method and the minimum-maximum method to pass each optimization goal Equipped with corresponding weight coefficients, multiple optimization objectives are combined into one function, multiple constraints are added to the function through the penalty function method, and it is transformed into a single-objective optimization problem without constraints

However, this optimization method has great limitations, the key lies in the setting of its weight, the weight distribution affects the value of the optimization function, but the artificial weight distribution is very subjective, depends on a large amount of engineering experience, and is relatively lacking in rigor sex and science

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