Flexible optimal scheduling of power system based on renewable energy and electric vehicles
The increase in the penetration rate of renewable energy (RE) and the number of electric vehicles (EVs) has created problems for the balance of energy supply and demand of the power system. To solve this problem, it is necessary to evaluate the flexibility of the power system and optimize scheduling...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-04-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721012105 |
| _version_ | 1811332072411758592 |
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| author | Jiawei Feng Junyou Yang Haixin Wang Kang Wang Huichao Ji Jiahui Yuan Yiming Ma |
| author_facet | Jiawei Feng Junyou Yang Haixin Wang Kang Wang Huichao Ji Jiahui Yuan Yiming Ma |
| author_sort | Jiawei Feng |
| collection | DOAJ |
| description | The increase in the penetration rate of renewable energy (RE) and the number of electric vehicles (EVs) has created problems for the balance of energy supply and demand of the power system. To solve this problem, it is necessary to evaluate the flexibility of the power system and optimize scheduling flexible resources to enhance the flexibility of the system. This paper proposes a power system flexibility optimization scheduling strategy considering RE and EVs. First, the models of RE and EVs charging load are established. Second, it analyzes the flexibility of the power system and proposes system flexibility evaluation indexes taking into account RE and EVs charging load. Finally, an optimal scheduling model of the power system is established. The improved particle swarm optimization (PSO) algorithm is used to solve it. The optimization results show that the proposed strategy can effectively improve the flexibility of the power system. |
| first_indexed | 2024-04-13T16:30:24Z |
| format | Article |
| id | doaj.art-4fa86a022a2a462cac851eb1d8eba120 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-13T16:30:24Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-4fa86a022a2a462cac851eb1d8eba1202022-12-22T02:39:35ZengElsevierEnergy Reports2352-48472022-04-01814141422Flexible optimal scheduling of power system based on renewable energy and electric vehiclesJiawei Feng0Junyou Yang1Haixin Wang2Kang Wang3Huichao Ji4Jiahui Yuan5Yiming Ma6Shenyang University of Technology, Shenyang 110870, ChinaCorresponding author.; Shenyang University of Technology, Shenyang 110870, ChinaShenyang University of Technology, Shenyang 110870, ChinaShenyang University of Technology, Shenyang 110870, ChinaShenyang University of Technology, Shenyang 110870, ChinaShenyang University of Technology, Shenyang 110870, ChinaShenyang University of Technology, Shenyang 110870, ChinaThe increase in the penetration rate of renewable energy (RE) and the number of electric vehicles (EVs) has created problems for the balance of energy supply and demand of the power system. To solve this problem, it is necessary to evaluate the flexibility of the power system and optimize scheduling flexible resources to enhance the flexibility of the system. This paper proposes a power system flexibility optimization scheduling strategy considering RE and EVs. First, the models of RE and EVs charging load are established. Second, it analyzes the flexibility of the power system and proposes system flexibility evaluation indexes taking into account RE and EVs charging load. Finally, an optimal scheduling model of the power system is established. The improved particle swarm optimization (PSO) algorithm is used to solve it. The optimization results show that the proposed strategy can effectively improve the flexibility of the power system.http://www.sciencedirect.com/science/article/pii/S2352484721012105Electric vehicle (EV)Renewable energy (RE)Flexibility evaluation indexOptimal scheduling |
| spellingShingle | Jiawei Feng Junyou Yang Haixin Wang Kang Wang Huichao Ji Jiahui Yuan Yiming Ma Flexible optimal scheduling of power system based on renewable energy and electric vehicles Energy Reports Electric vehicle (EV) Renewable energy (RE) Flexibility evaluation index Optimal scheduling |
| title | Flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| title_full | Flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| title_fullStr | Flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| title_full_unstemmed | Flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| title_short | Flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| title_sort | flexible optimal scheduling of power system based on renewable energy and electric vehicles |
| topic | Electric vehicle (EV) Renewable energy (RE) Flexibility evaluation index Optimal scheduling |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721012105 |
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