{"title":"考虑客流的最优电动公交车队充电调度","authors":"Jinran Guo, Zhaohao Ding, K. Yu, Fei Tang","doi":"10.1109/ICPSAsia52756.2021.9621632","DOIUrl":null,"url":null,"abstract":"Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"480 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Electric Bus Fleet Charging Scheduling Considering Passenger Flow\",\"authors\":\"Jinran Guo, Zhaohao Ding, K. Yu, Fei Tang\",\"doi\":\"10.1109/ICPSAsia52756.2021.9621632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.\",\"PeriodicalId\":296085,\"journal\":{\"name\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"volume\":\"480 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPSAsia52756.2021.9621632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Electric Bus Fleet Charging Scheduling Considering Passenger Flow
Transportation electrification has played an important role in reducing CO2 emissions and mitigating environmental problems. Meanwhile, battery electric buses (BEBs) are growing rapidly due to their energy conservation and quietness. This paper presents a battery electric bus fleet charging scheduling method to optimize the operation of BEBs. According to the total cost minimization of BEB fleets, a charging load management method is proposed to optimize the spatial-temporal distribution of BEB charging load. Besides, we consider the influence of passenger flow and road condition on the power and transportation system, which greatly affect the real travel and charging behavior of BEBs. In addition, several cases are designed to estimate the performance of BEB charging scheduling model. The results verify the effectiveness of BEB fleet charging management scheme.