The invention provides a traction power supply system control method based on multi-objective optimization, and the method comprises the following steps: S1, determining an initial control variable of a traction system, the initial control variable comprising converter power of an alpha power supply side and a beta power supply side of the traction power supply system and train braking resistor dissipation power of the alpha power supply side, the initial control variable is used as input to construct a regenerative braking energy MPC prediction model; s2, predicting a state variable of a next moment based on a regenerative braking energy MPC prediction model, wherein the state variable comprises output power of a traction substation, total dissipation power of a brake resistor, output power of an energy storage system and a charge state of the energy storage system; and S3, constructing a multi-objective optimization function based on the state variable at the next moment, converting the multi-objective optimization function into a quadratic programming form for solving to obtain a control variable sequence, and taking a first item of the control variable sequence as control input to control the traction power supply system to work.
本发明提供的一种基于多目标优化的牵引供电系统控制方法,包括以下步骤:S1.确定牵引系统的初始控制变量,初始控制变量包括牵引供电系统的α供电侧和β供电侧的换流器功率以及α供电侧列车制动电阻耗散功率,并以初始控制变量作为输入构建再生制动能量MPC预测模型;S2.基于再生制动能量MPC预测模型预测下一时刻的状态变量,所述状态变量包括牵引变电所输出功率、制动电阻总耗散功率、储能系统输出功率以及储能系统荷电状态;S3.基于下一时刻状态变量构建多目标优化函数,并将多目标优化函数转化为二次规划形式求解,得到控制变量序列,并以控制变量序列第一项作为控制输入控制牵引供电系统工作。
Traction power supply system control method based on multi-objective optimization
基于多目标优化的牵引供电系统控制方法
2025-02-28
Patent
Electronic Resource
Chinese
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