A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas
Due to the large number of electric vehicles (EVs) connected to the distribution network of residential areas (RAs), community charging has become a major constraint. The planning of the distribution network in RAs needs to consider the orderly charging load of EVs. In the current study, an orderly...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/12/4/216 |
| _version_ | 1797499755355439104 |
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| author | Zhaoxia Xiao Yi Zhou Jianing Cao Rui Xu |
| author_facet | Zhaoxia Xiao Yi Zhou Jianing Cao Rui Xu |
| author_sort | Zhaoxia Xiao |
| collection | DOAJ |
| description | Due to the large number of electric vehicles (EVs) connected to the distribution network of residential areas (RAs), community charging has become a major constraint. The planning of the distribution network in RAs needs to consider the orderly charging load of EVs. In the current study, an orderly charging planning method for the charging posts and distribution network of RAs was proposed. First, a charging load forecasting model based on the travel characteristics, charging time, and ownership of EVs in RAs was established. Then, a hierarchical orderly charging optimization method, including a distribution network layer and EV access node layer, was devised. The upper layer optimizes the distribution network. The objective function is the minimum variance of the overall load in the RA and the constraint conditions satisfy the overall charging load demand and the capacity of the distributed network. The lower layer optimizes the EV access nodes. The objective function is the minimum variance of the node access load, and the constraint conditions are to meet the regional charging load demand and the optimal power balance demand transmitted from the upper layer to the lower layer. A nonlinear optimization algorithm is employed to solve these objective functions. An IEEE 33 node example was used to obtain the orderly charging power load curves for weekdays and weekends in RAs, and the simulation results prove the effectiveness of the proposed method. |
| first_indexed | 2024-03-10T03:51:59Z |
| format | Article |
| id | doaj.art-2b40996d245d4e4aa4d4e75076c5f145 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-10T03:51:59Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-2b40996d245d4e4aa4d4e75076c5f1452023-11-23T11:03:17ZengMDPI AGWorld Electric Vehicle Journal2032-66532021-11-0112421610.3390/wevj12040216A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential AreasZhaoxia Xiao0Yi Zhou1Jianing Cao2Rui Xu3School of Electrical Engineering, Tiangong University, Tianjin 300387, ChinaSchool of Electrical Engineering, Tiangong University, Tianjin 300387, ChinaSchool of Control Science and Engineering, Tiangong University, Tianjin 300387, ChinaSchool of Electrical Engineering, Tiangong University, Tianjin 300387, ChinaDue to the large number of electric vehicles (EVs) connected to the distribution network of residential areas (RAs), community charging has become a major constraint. The planning of the distribution network in RAs needs to consider the orderly charging load of EVs. In the current study, an orderly charging planning method for the charging posts and distribution network of RAs was proposed. First, a charging load forecasting model based on the travel characteristics, charging time, and ownership of EVs in RAs was established. Then, a hierarchical orderly charging optimization method, including a distribution network layer and EV access node layer, was devised. The upper layer optimizes the distribution network. The objective function is the minimum variance of the overall load in the RA and the constraint conditions satisfy the overall charging load demand and the capacity of the distributed network. The lower layer optimizes the EV access nodes. The objective function is the minimum variance of the node access load, and the constraint conditions are to meet the regional charging load demand and the optimal power balance demand transmitted from the upper layer to the lower layer. A nonlinear optimization algorithm is employed to solve these objective functions. An IEEE 33 node example was used to obtain the orderly charging power load curves for weekdays and weekends in RAs, and the simulation results prove the effectiveness of the proposed method.https://www.mdpi.com/2032-6653/12/4/216electric vehiclesresidential areasorderly charginghierarchical optimizationnonlinear optimization algorithm |
| spellingShingle | Zhaoxia Xiao Yi Zhou Jianing Cao Rui Xu A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas World Electric Vehicle Journal electric vehicles residential areas orderly charging hierarchical optimization nonlinear optimization algorithm |
| title | A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas |
| title_full | A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas |
| title_fullStr | A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas |
| title_full_unstemmed | A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas |
| title_short | A Medium- and Long-Term Orderly Charging Load Planning Method for Electric Vehicles in Residential Areas |
| title_sort | medium and long term orderly charging load planning method for electric vehicles in residential areas |
| topic | electric vehicles residential areas orderly charging hierarchical optimization nonlinear optimization algorithm |
| url | https://www.mdpi.com/2032-6653/12/4/216 |
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