Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game
The development of both microgrids and electric vehicles has become an important part of the current energy scenario. Useful complementary advantages can be formed between electric vehicles and microgrids, the consumers of which can utilize renewable energy and narrow the peak–valley differences of...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.974282/full |
| _version_ | 1817996761581486080 |
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| author | Wen Bo Wen Bo Wenqiang Zhang Rongyu Du Donglai Wang Donglai Wang Yan Zhao Yan Zhao Quanzheng Li Quanzheng Li Zhen Zhang Zhen Zhang |
| author_facet | Wen Bo Wen Bo Wenqiang Zhang Rongyu Du Donglai Wang Donglai Wang Yan Zhao Yan Zhao Quanzheng Li Quanzheng Li Zhen Zhang Zhen Zhang |
| author_sort | Wen Bo |
| collection | DOAJ |
| description | The development of both microgrids and electric vehicles has become an important part of the current energy scenario. Useful complementary advantages can be formed between electric vehicles and microgrids, the consumers of which can utilize renewable energy and narrow the peak–valley differences of the net load curve while ensuring their own pecuniary interests. Based on the idea of the Stackelberg game, an optimal dispatch model of a microgrid with electric vehicles is proposed herein, where the benefits of the state of charge are taken into account. In the upper layer of the model, the charging and discharging behaviors of electric vehicles are guided by the goal of minimizing the operating cost of the microgrid. In the lower layer of the model, electric vehicle users adjust the charging and discharging strategies with the goal of maximizing their individual interests. The study results demonstrate that the proposed model not only reflects the benefits of both the master and slave but also reduces the peak–valley differences of the microgrid load. Further, the charging and discharging times of electric vehicles are reduced, and their state of charge is maintained at a high level. |
| first_indexed | 2024-04-14T02:28:09Z |
| format | Article |
| id | doaj.art-c8679f5fb23d41f4939cd5252e6c0a37 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-14T02:28:09Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-c8679f5fb23d41f4939cd5252e6c0a372022-12-22T02:17:49ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-08-011010.3389/fenrg.2022.974282974282Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg gameWen Bo0Wen Bo1Wenqiang Zhang2Rongyu Du3Donglai Wang4Donglai Wang5Yan Zhao6Yan Zhao7Quanzheng Li8Quanzheng Li9Zhen Zhang10Zhen Zhang11Shenyang Institute of Engineering, Shenyang, ChinaKey Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province, Shenyang Institute of Engineering, Shenyang, ChinaShenyang Institute of Engineering, Shenyang, ChinaState Grid Chaoyang Power Supply Company, Chaoyang, ChinaShenyang Institute of Engineering, Shenyang, ChinaKey Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province, Shenyang Institute of Engineering, Shenyang, ChinaShenyang Institute of Engineering, Shenyang, ChinaKey Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province, Shenyang Institute of Engineering, Shenyang, ChinaShenyang Institute of Engineering, Shenyang, ChinaKey Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province, Shenyang Institute of Engineering, Shenyang, ChinaShenyang Institute of Engineering, Shenyang, ChinaKey Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province, Shenyang Institute of Engineering, Shenyang, ChinaThe development of both microgrids and electric vehicles has become an important part of the current energy scenario. Useful complementary advantages can be formed between electric vehicles and microgrids, the consumers of which can utilize renewable energy and narrow the peak–valley differences of the net load curve while ensuring their own pecuniary interests. Based on the idea of the Stackelberg game, an optimal dispatch model of a microgrid with electric vehicles is proposed herein, where the benefits of the state of charge are taken into account. In the upper layer of the model, the charging and discharging behaviors of electric vehicles are guided by the goal of minimizing the operating cost of the microgrid. In the lower layer of the model, electric vehicle users adjust the charging and discharging strategies with the goal of maximizing their individual interests. The study results demonstrate that the proposed model not only reflects the benefits of both the master and slave but also reduces the peak–valley differences of the microgrid load. Further, the charging and discharging times of electric vehicles are reduced, and their state of charge is maintained at a high level.https://www.frontiersin.org/articles/10.3389/fenrg.2022.974282/fullmicrogridelectric vehiclesStackelberg gameoptimal dispatchstate of charge |
| spellingShingle | Wen Bo Wen Bo Wenqiang Zhang Rongyu Du Donglai Wang Donglai Wang Yan Zhao Yan Zhao Quanzheng Li Quanzheng Li Zhen Zhang Zhen Zhang Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game Frontiers in Energy Research microgrid electric vehicles Stackelberg game optimal dispatch state of charge |
| title | Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game |
| title_full | Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game |
| title_fullStr | Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game |
| title_full_unstemmed | Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game |
| title_short | Collaborative optimal dispatch of microgrid and electric vehicles based on the Stackelberg game |
| title_sort | collaborative optimal dispatch of microgrid and electric vehicles based on the stackelberg game |
| topic | microgrid electric vehicles Stackelberg game optimal dispatch state of charge |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.974282/full |
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