Off-peak multi-train operation energy conservation optimization method

Abstract

The invention discloses an off-peak multi-train operation energy conservation optimization method. The method includes setting basic parameters of route data, train data, operation data and a genetic algorithm of multi-train operation in off-peak hours; constructing a multi-train operation energy consumption calculation model of the off-peak hours; taking a compressed value of station dwell time as an optimization variable, taking an energy conservation index and a punctuality index as an optimization target and taking one-way total operation time and station dwell time variation range as constraint conditions, establishing an off-peak multi-train optimization model; utilizing a Pareto multi-target genetic algorithm for solving the optimization model and obtaining a Pareto non-dominated solution set; finally, through extracting the globally optimal solution, solving the section operation time and each station dwell time after the optimization and thus obtaining an optimized time table and implementing the model solving of the non-peak multi-train energy conservation optimization model. According to the invention, energy conservation of non-peak multi-train operation is reduced and train operation time accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of train operation control, in particular to an energy-saving optimization method for multi-train operation during off-peak hours. Background technique [0002] In recent years, with the rapid development of my country's social economy and the continuous advancement of urbanization, urban subways have also developed rapidly, and the resulting energy consumption of urban rail transit has also increased. How to more effectively improve energy utilization and reduce operating costs on the basis of satisfying the punctual operation of trains is of great significance to the development of my country's railway industry. [0003] Train energy-saving operation control is a typical multi-objective and multi-constraint optimal 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 c...

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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 local optimum

The current method to deal with multi-objective and multi-constrained optimization problems of train energy saving is mainly to convert multi-objectives into single-objective optimization by weighting multiple optimization objectives. Local optimization, only one set of solutions can be obtained, and the optimization speed is slow

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