Train energy-saving operation target speed curve optimization method

Abstract

The invention discloses a train energy-saving operation target speed curve optimization method comprising the following steps that S1, an optimization target is divided into multiple modes based on a hierarchical optimization method, and a mode switching relationship between any two adjacent modes is calculated based on a mode switching satisfaction area; S2, the speed value of a first constant speed mode and the speed value of the switching point of switching to a braking mode from a first coasting mode are calculated according to the mode switching relationship; S3, the position coordinates of the switching point of switching to the first coasting mode from the first constant speed mode are reversely calculated based on a two-way iterative method; S4, an initial target speed curve is obtained; S5, as for any one steep slope section, the part corresponding to the steep slope section in the initial target speed curve is optimized based on an average speed equivalent method; and S6, the target speed curve is optimized based on a multi-target satisfaction optimization method. Energy saving performance, punctuality, stability and safety of train operation can be effectively enhanced by the optimization method.

Description

technical field [0001] The invention relates to the technical field of train operation control. More specifically, it relates to a method for optimizing the target speed curve of energy-saving train operation. Background technique [0002] Train energy-saving operation control is a typical nonlinear, multi-constraint, and multi-objective complex time-varying process, which can be divided into two links: optimization of control target speed curve and target speed tracking control. Among them, the target speed curve is the object tracked by the control system, and its dynamic optimization involves energy consumption mechanism modeling, kinematics analysis, intelligent optimization, etc. Existing research mainly focuses on mathematical analysis, optimization of working condition conversion strategies, and optimal control In order to solve the optimal or near-optimal solution of the energy consumption objective function, the constraint conditions such as line conditions, train ...

AI Technical Summary

Problems solved by technology

However, the optimization method based on computational intelligence generally lacks an ideal solution in terms of optimizing calculation real-time and engineering feasibility, resulting in a poor connection between theoretical research results and practical engineering applications.

At the same time, my country's railways have long crossings, many types of locomotives, complex lines, and high traffic density. The traditional "Train Operation Schematic Diagram" for specific lines and trains is difficult to meet the needs of the development of the times, and the existing energy-saving operation control systems in foreign countries are also difficult to adapt. China's complex road network environment

Images