Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time
Due to increasing environmental concerns regarding urban transit systems, the specific operating characteristics of metro trains and the rules of regenerative braking energy recycling were studied in this paper to relieve environmental stress. Based on the integrated research on trajectory and opera...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8721649/ |
id |
doaj-fe0c319a1f30455a8054de979e286f15 |
---|---|
record_format |
Article |
spelling |
doaj-fe0c319a1f30455a8054de979e286f152021-03-29T23:35:41ZengIEEEIEEE Access2169-35362019-01-017683426835810.1109/ACCESS.2019.29189388721649Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap TimeDeqiang He0https://orcid.org/0000-0002-7668-9399Yanjie Yang1https://orcid.org/0000-0003-2317-3177Jixu Zhou2Yanjun Chen3School of Mechanical Engineering, Guangxi University, Nanning, ChinaSchool of Mechanical Engineering, Guangxi University, Nanning, ChinaSchool of Mechanical Engineering, Guangxi University, Nanning, ChinaSchool of Mechanical Engineering, Guangxi University, Nanning, ChinaDue to increasing environmental concerns regarding urban transit systems, the specific operating characteristics of metro trains and the rules of regenerative braking energy recycling were studied in this paper to relieve environmental stress. Based on the integrated research on trajectory and operation time, we considered complex operation routes mixed with ramps and detours, which also caused a complicated situation of overlap time, to better fit the actual and more efficient situation. A complex new model combined with a matrix control algorithm was proposed in this study. This model overcomes the lack of matching opportunity for overlap time as well as the precocity and instability of the genetic algorithm. In addition, the search ability of the model in the solution space is more comprehensive. In the interest of achieving minimum energy consumption, the objective function was set to minimize the total energy. Taking the Chongqing Metro Line 1 as a numerical example, the energy consumption results show that the energy saving method is effective and has a practical advantage. Then, a comparison of different models using the index of renewable utilization ratio as the indicator shows that the proposed model has a superior potential for energy conservation.https://ieeexplore.ieee.org/document/8721649/Matrix control modelenergy conservationoptimizationregenerative braking |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Deqiang He Yanjie Yang Jixu Zhou Yanjun Chen |
spellingShingle |
Deqiang He Yanjie Yang Jixu Zhou Yanjun Chen Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time IEEE Access Matrix control model energy conservation optimization regenerative braking |
author_facet |
Deqiang He Yanjie Yang Jixu Zhou Yanjun Chen |
author_sort |
Deqiang He |
title |
Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time |
title_short |
Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time |
title_full |
Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time |
title_fullStr |
Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time |
title_full_unstemmed |
Optimal Control of Metro Energy Conservation Based on Regenerative Braking: A Complex Model Study of Trajectory and Overlap Time |
title_sort |
optimal control of metro energy conservation based on regenerative braking: a complex model study of trajectory and overlap time |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Due to increasing environmental concerns regarding urban transit systems, the specific operating characteristics of metro trains and the rules of regenerative braking energy recycling were studied in this paper to relieve environmental stress. Based on the integrated research on trajectory and operation time, we considered complex operation routes mixed with ramps and detours, which also caused a complicated situation of overlap time, to better fit the actual and more efficient situation. A complex new model combined with a matrix control algorithm was proposed in this study. This model overcomes the lack of matching opportunity for overlap time as well as the precocity and instability of the genetic algorithm. In addition, the search ability of the model in the solution space is more comprehensive. In the interest of achieving minimum energy consumption, the objective function was set to minimize the total energy. Taking the Chongqing Metro Line 1 as a numerical example, the energy consumption results show that the energy saving method is effective and has a practical advantage. Then, a comparison of different models using the index of renewable utilization ratio as the indicator shows that the proposed model has a superior potential for energy conservation. |
topic |
Matrix control model energy conservation optimization regenerative braking |
url |
https://ieeexplore.ieee.org/document/8721649/ |
work_keys_str_mv |
AT deqianghe optimalcontrolofmetroenergyconservationbasedonregenerativebrakingacomplexmodelstudyoftrajectoryandoverlaptime AT yanjieyang optimalcontrolofmetroenergyconservationbasedonregenerativebrakingacomplexmodelstudyoftrajectoryandoverlaptime AT jixuzhou optimalcontrolofmetroenergyconservationbasedonregenerativebrakingacomplexmodelstudyoftrajectoryandoverlaptime AT yanjunchen optimalcontrolofmetroenergyconservationbasedonregenerativebrakingacomplexmodelstudyoftrajectoryandoverlaptime |
_version_ |
1724189263929540608 |