Energy saving optimization control of urban intelligent transportation under sequential quadratic programming algorithm

被引：0

作者：

Yang, Nan ^{[1
]}

Xiao, Jun ^{[1
]}

机构：

[1] College of Information Science and Engineering, Experiment Center, Northeastern University, Shenyang

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2024年 / 54卷 / 08期

关键词：

dynamic analysis; energy consumption calculation; energy saving optimization control; sequential quadratic programming algorithm; urban intelligent transportation operation;

D O I：

10.13229/j.cnki.jdxbgxb.20230324

中图分类号：

学科分类号：

摘要：

Aiming at the problem of large energy consumption caused by traffic infrastructure equipment，traction motor，brake device，etc.，an energy-saving optimization control method based on Sequential quadratic programming（SQP）algorithm for urban intelligent transportation operation was proposed. Based on the operation process of urban intelligent transportation，kinematics analysis of traffic train is carried out. According to the total energy consumption of traffic operation traction，a traffic operation energy-saving control model is constructed，and SQP algorithm is used to solve the model，so as to realize online energy-saving optimization control of urban intelligent traffic operation. The experimental results show that the method carries out energy saving optimization control performance test and regeneration energy utilization test，which verifies the practicability and robustness of the method. © 2024 Editorial Board of Jilin University. All rights reserved.

引用

页码：2223 / 2228

页数：5

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