Bowen Tian , Wei Shen , Chongyu Zhang , James E. Anderson , Michael W. Degner , Xi Lu , Sheng Zhao , Ye Wu , Shaojun Zhang
{"title":"Optimizing the charging behaviors of private BEVs to enhance coordinated charging and V2G in Beijing","authors":"Bowen Tian , Wei Shen , Chongyu Zhang , James E. Anderson , Michael W. Degner , Xi Lu , Sheng Zhao , Ye Wu , Shaojun Zhang","doi":"10.1016/j.etran.2025.100470","DOIUrl":null,"url":null,"abstract":"<div><div>Deep electrification of China's transport sector offers CO<sub>2</sub> emission reduction potential but poses reliability challenges to the urban power system. Smart charging strategies for battery electric vehicles (BEVs), including coordinated charging and vehicle-to-grid (V2G), are one of the most promising approaches to realizing the trade-off between decarbonization and stability of the electricity grid. In this study, an integrated model coupling load prediction and unit dispatching was developed to evaluate the multiple impacts of smart charging strategies considering the heterogeneity of individual driving and charging behaviors expected in Beijing in 2030. Compared with previous work, we have further revealed the different impacts of changing drivers' charging preference under uncoordinated charging, coordinated charging and V2G. The lowest operating cost and CO<sub>2</sub> emissions occur in the workplace charging preference (WCP) scenario with uncoordinated charging, but occur in the daily charging (DC) scenario when V2G is applied. It is indicated that smart charging strategies could simultaneously reduce grid operating costs and CO<sub>2</sub> emissions by decreasing the net load (thermal unit power outputs) on the electricity grid. Compared with the uncoordinated charging, using coordinated charging could reduce daily operating cost by 2.67 million RMB and daily CO<sub>2</sub> emissions by 10.23 kt on average, and the adoption of V2G could further increase the reductions to 8.74 million RMB and 24.25 kt CO<sub>2</sub>. Annual CO<sub>2</sub> emission reductions enabled by coordinated charging and V2G are estimated to be 3700 kt and 8850 kt, respectively, which are equivalent to 1.2 × and 2.9 × the projected total emissions of the Beijing private BEV fleet. Increases in V2G participation can also smooth the net load profile and improve grid stability. In the DC scenario, the application of V2G reduced the peak net load by almost 30 % compared to the uncoordinated charging. Furthermore, there is a synergy between V2G participation and renewable energy (RE) development. Improving the electricity system and charging technology during future fleet electrification may be facilitated by coordinated charging and V2G opportunities.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"26 ","pages":"Article 100470"},"PeriodicalIF":17.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Etransportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590116825000773","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Deep electrification of China's transport sector offers CO2 emission reduction potential but poses reliability challenges to the urban power system. Smart charging strategies for battery electric vehicles (BEVs), including coordinated charging and vehicle-to-grid (V2G), are one of the most promising approaches to realizing the trade-off between decarbonization and stability of the electricity grid. In this study, an integrated model coupling load prediction and unit dispatching was developed to evaluate the multiple impacts of smart charging strategies considering the heterogeneity of individual driving and charging behaviors expected in Beijing in 2030. Compared with previous work, we have further revealed the different impacts of changing drivers' charging preference under uncoordinated charging, coordinated charging and V2G. The lowest operating cost and CO2 emissions occur in the workplace charging preference (WCP) scenario with uncoordinated charging, but occur in the daily charging (DC) scenario when V2G is applied. It is indicated that smart charging strategies could simultaneously reduce grid operating costs and CO2 emissions by decreasing the net load (thermal unit power outputs) on the electricity grid. Compared with the uncoordinated charging, using coordinated charging could reduce daily operating cost by 2.67 million RMB and daily CO2 emissions by 10.23 kt on average, and the adoption of V2G could further increase the reductions to 8.74 million RMB and 24.25 kt CO2. Annual CO2 emission reductions enabled by coordinated charging and V2G are estimated to be 3700 kt and 8850 kt, respectively, which are equivalent to 1.2 × and 2.9 × the projected total emissions of the Beijing private BEV fleet. Increases in V2G participation can also smooth the net load profile and improve grid stability. In the DC scenario, the application of V2G reduced the peak net load by almost 30 % compared to the uncoordinated charging. Furthermore, there is a synergy between V2G participation and renewable energy (RE) development. Improving the electricity system and charging technology during future fleet electrification may be facilitated by coordinated charging and V2G opportunities.
期刊介绍:
eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation.
The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment.
Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.