An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System
Photovoltaic- (PV-) based battery swapping stations (BSSs) utilize a typical integration of consumable renewable resources to supply power for electric vehicles (EVs). The charging strategy of PV-based BSSs directly influences the availability, cost, and carbon emissions of the swapping service. Thi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2017/1504857 |
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| author | Shengjun Wu Qingshan Xu Qun Li Xiaodong Yuan Bing Chen |
| author_facet | Shengjun Wu Qingshan Xu Qun Li Xiaodong Yuan Bing Chen |
| author_sort | Shengjun Wu |
| collection | DOAJ |
| description | Photovoltaic- (PV-) based battery swapping stations (BSSs) utilize a typical integration of consumable renewable resources to supply power for electric vehicles (EVs). The charging strategy of PV-based BSSs directly influences the availability, cost, and carbon emissions of the swapping service. This paper proposes an optimal charging strategy to improve the self-consumption of PV-generated power and service availability while considering forecast errors. First, we introduce the typical structure and operation model of PV-based BSSs. Second, three indexes are presented to evaluate operational performance. Then, a particle swarm optimization (PSO) algorithm is developed to calculate the optimal charging power and to minimize the charging cost for each time slot. The proposed charging strategy helps decrease the impact of forecast uncertainties on the availability of the battery swapping service. Finally, a day-ahead operation schedule, a real-time decision-making strategy, and the proposed PSO charging strategy for PV-based BSSs are simulated in a case study. The simulation results show that the proposed strategy can effectively improve the self-consumption of PV-generated power and reduce charging cost. |
| format | Article |
| id | doaj-art-c945339a11704c3d8fc833be8d005f54 |
| institution | OA Journals |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-c945339a11704c3d8fc833be8d005f542025-08-20T02:19:41ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2017-01-01201710.1155/2017/15048571504857An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution SystemShengjun Wu0Qingshan Xu1Qun Li2Xiaodong Yuan3Bing Chen4School of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, ChinaJiangsu Electric Power Research Institute, No. 1 Paweier, Nanjing 211103, ChinaJiangsu Electric Power Research Institute, No. 1 Paweier, Nanjing 211103, ChinaJiangsu Electric Power Research Institute, No. 1 Paweier, Nanjing 211103, ChinaPhotovoltaic- (PV-) based battery swapping stations (BSSs) utilize a typical integration of consumable renewable resources to supply power for electric vehicles (EVs). The charging strategy of PV-based BSSs directly influences the availability, cost, and carbon emissions of the swapping service. This paper proposes an optimal charging strategy to improve the self-consumption of PV-generated power and service availability while considering forecast errors. First, we introduce the typical structure and operation model of PV-based BSSs. Second, three indexes are presented to evaluate operational performance. Then, a particle swarm optimization (PSO) algorithm is developed to calculate the optimal charging power and to minimize the charging cost for each time slot. The proposed charging strategy helps decrease the impact of forecast uncertainties on the availability of the battery swapping service. Finally, a day-ahead operation schedule, a real-time decision-making strategy, and the proposed PSO charging strategy for PV-based BSSs are simulated in a case study. The simulation results show that the proposed strategy can effectively improve the self-consumption of PV-generated power and reduce charging cost.http://dx.doi.org/10.1155/2017/1504857 |
| spellingShingle | Shengjun Wu Qingshan Xu Qun Li Xiaodong Yuan Bing Chen An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System International Journal of Photoenergy |
| title | An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System |
| title_full | An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System |
| title_fullStr | An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System |
| title_full_unstemmed | An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System |
| title_short | An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System |
| title_sort | optimal charging strategy for pv based battery swapping stations in a dc distribution system |
| url | http://dx.doi.org/10.1155/2017/1504857 |
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