Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices
Electric buses (EBs) have been implemented worldwide and exhibited great potential for air pollution reduction and traffic noise control. In regular charging scenarios, the deployment of charging facilities and the operational scheduling of the transit system is crucial to bus transit system managem...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8863905 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560026286292992 |
|---|---|
| author | Xinghua Li Tianzuo Wang Lingjie Li Feiyu Feng Wei Wang Cheng Cheng |
| author_facet | Xinghua Li Tianzuo Wang Lingjie Li Feiyu Feng Wei Wang Cheng Cheng |
| author_sort | Xinghua Li |
| collection | DOAJ |
| description | Electric buses (EBs) have been implemented worldwide and exhibited great potential for air pollution reduction and traffic noise control. In regular charging scenarios, the deployment of charging facilities and the operational scheduling of the transit system is crucial to bus transit system management. In this paper, we proposed a joint optimization model of regular charging electric bus transit network schedule and stationary charger deployment considering partial charging policy and time-of-use electricity prices. The objective of the model is to minimize the total investment cost of the transit system including the capital and maintenance cost of EBs and chargers, the power consumption cost, and time-related in-service cost. A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. The validation results illustrated that the methodology considering the partial charging policy can arrange the charging schedule adaptive to the time-of-use electricity prices. Compared with the benchmark of single line separate scheduling, the proposed model can yield 3 million RMB investment saving by highly utilizing EBs and battery chargers. |
| format | Article |
| id | doaj-art-3a7bfdb77e4c4c32b8d49b3120cbdcfa |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-3a7bfdb77e4c4c32b8d49b3120cbdcfa2025-02-03T01:28:33ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88639058863905Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity PricesXinghua Li0Tianzuo Wang1Lingjie Li2Feiyu Feng3Wei Wang4Cheng Cheng5The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, ChinaUrban Mobility Institute, Tongji University, Shanghai 201804, ChinaDepartment of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA 94720, USAThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, ChinaElectric buses (EBs) have been implemented worldwide and exhibited great potential for air pollution reduction and traffic noise control. In regular charging scenarios, the deployment of charging facilities and the operational scheduling of the transit system is crucial to bus transit system management. In this paper, we proposed a joint optimization model of regular charging electric bus transit network schedule and stationary charger deployment considering partial charging policy and time-of-use electricity prices. The objective of the model is to minimize the total investment cost of the transit system including the capital and maintenance cost of EBs and chargers, the power consumption cost, and time-related in-service cost. A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. The validation results illustrated that the methodology considering the partial charging policy can arrange the charging schedule adaptive to the time-of-use electricity prices. Compared with the benchmark of single line separate scheduling, the proposed model can yield 3 million RMB investment saving by highly utilizing EBs and battery chargers.http://dx.doi.org/10.1155/2020/8863905 |
| spellingShingle | Xinghua Li Tianzuo Wang Lingjie Li Feiyu Feng Wei Wang Cheng Cheng Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices Journal of Advanced Transportation |
| title | Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices |
| title_full | Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices |
| title_fullStr | Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices |
| title_full_unstemmed | Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices |
| title_short | Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Prices |
| title_sort | joint optimization of regular charging electric bus transit network schedule and stationary charger deployment considering partial charging policy and time of use electricity prices |
| url | http://dx.doi.org/10.1155/2020/8863905 |
| work_keys_str_mv | AT xinghuali jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices AT tianzuowang jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices AT lingjieli jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices AT feiyufeng jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices AT weiwang jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices AT chengcheng jointoptimizationofregularchargingelectricbustransitnetworkscheduleandstationarychargerdeploymentconsideringpartialchargingpolicyandtimeofuseelectricityprices |