Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving
Existing vehicle-to-grid (V2G) applications are aimed at the power grid and the government. It is difficult for charging stations (CSs) to execute the schedules in real time. To figure out the multiple-layer energy management from the perspective of CS, the dispatch potential assessment model is con...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1278480/full |
| _version_ | 1797639628331679744 |
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| author | Bin Qian Bin Qian Min Song Song Ke Song Ke Fan Zhang Fan Zhang Bin Luo Ji Wang Ji Wang Jianlin Tang Jianlin Tang Jun Yang Jun Yang |
| author_facet | Bin Qian Bin Qian Min Song Song Ke Song Ke Fan Zhang Fan Zhang Bin Luo Ji Wang Ji Wang Jianlin Tang Jianlin Tang Jun Yang Jun Yang |
| author_sort | Bin Qian |
| collection | DOAJ |
| description | Existing vehicle-to-grid (V2G) applications are aimed at the power grid and the government. It is difficult for charging stations (CSs) to execute the schedules in real time. To figure out the multiple-layer energy management from the perspective of CS, the dispatch potential assessment model is constructed based on the EV users’ charging demand and Minkowski summation. And the optimal energy management schedule model of CS with ESS is proposed considering peak shaving and valley filling under the time-in-use tariff. Besides, the real-time charging control model of EVs in CS is designed under the premise of meeting the charging needs. The simulation results show that the proposed strategy can promote CS operation revenues and track the scheduling plan of CS. The arbitrage of tariffs and peak shaving ancillary services are realized while the charging loads of CSs are smoothed by the charging/discharging of ESS. The proposed strategy is applicable for the CS aggregators and can help the grid operators for dispatch schedules. |
| first_indexed | 2024-03-11T13:20:16Z |
| format | Article |
| id | doaj.art-23074fdda8a34740b9b27b66b54d94bc |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-11T13:20:16Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-23074fdda8a34740b9b27b66b54d94bc2023-11-03T10:34:49ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-11-011110.3389/fenrg.2023.12784801278480Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shavingBin Qian0Bin Qian1Min Song2Song Ke3Song Ke4Fan Zhang5Fan Zhang6Bin Luo7Ji Wang8Ji Wang9Jianlin Tang10Jianlin Tang11Jun Yang12Jun Yang13Electric Power Research Institute, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaGuangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaZhaoqing Power Supply Bureau of Guangdong Power Grid Co., Ltd, Zhaoqing, Guangdong, ChinaHubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, ChinaElectric Power Research Institute, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaGuangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaZhaoqing Power Supply Bureau of Guangdong Power Grid Co., Ltd, Zhaoqing, Guangdong, ChinaElectric Power Research Institute, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaGuangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaElectric Power Research Institute, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaGuangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid, China Southern Power Grid Co., Ltd, Guangzhou, Guangdong, ChinaHubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, ChinaExisting vehicle-to-grid (V2G) applications are aimed at the power grid and the government. It is difficult for charging stations (CSs) to execute the schedules in real time. To figure out the multiple-layer energy management from the perspective of CS, the dispatch potential assessment model is constructed based on the EV users’ charging demand and Minkowski summation. And the optimal energy management schedule model of CS with ESS is proposed considering peak shaving and valley filling under the time-in-use tariff. Besides, the real-time charging control model of EVs in CS is designed under the premise of meeting the charging needs. The simulation results show that the proposed strategy can promote CS operation revenues and track the scheduling plan of CS. The arbitrage of tariffs and peak shaving ancillary services are realized while the charging loads of CSs are smoothed by the charging/discharging of ESS. The proposed strategy is applicable for the CS aggregators and can help the grid operators for dispatch schedules.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1278480/fullelectric vehiclesenergy managementenergy storage systempeak and valley shavingcharging stationcharging control |
| spellingShingle | Bin Qian Bin Qian Min Song Song Ke Song Ke Fan Zhang Fan Zhang Bin Luo Ji Wang Ji Wang Jianlin Tang Jianlin Tang Jun Yang Jun Yang Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving Frontiers in Energy Research electric vehicles energy management energy storage system peak and valley shaving charging station charging control |
| title | Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| title_full | Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| title_fullStr | Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| title_full_unstemmed | Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| title_short | Multiple-layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| title_sort | multiple layer energy management strategy for charging station optimal operation considering peak and valley shaving |
| topic | electric vehicles energy management energy storage system peak and valley shaving charging station charging control |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1278480/full |
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