Research on modeling and control strategy of lithium battery energy storage system in new energy consumption
Energy storage technology is one of the effective means to promote the consumption of new energy. It has the advantages of improving the flexibility and stability of power grid. Energy storage plays an important role in improving the peaking and valley filling function of the load side of the power...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472300207X |
| _version_ | 1797787223234445312 |
|---|---|
| author | Jianlin Li Yaxin Li Lingyi Ma Zhaohui Li Kun Ma |
| author_facet | Jianlin Li Yaxin Li Lingyi Ma Zhaohui Li Kun Ma |
| author_sort | Jianlin Li |
| collection | DOAJ |
| description | Energy storage technology is one of the effective means to promote the consumption of new energy. It has the advantages of improving the flexibility and stability of power grid. Energy storage plays an important role in improving the peaking and valley filling function of the load side of the power grid. Based on the two-stage topology of the energy storage system, this paper establishes the mirror model of the practical application engineering of the energy storage system, and uses the data-driven method to establish the energy storage battery model. On this basis, the multi-objective control strategy is adopted for the peak regulating power of the energy storage system and the load state balance of the battery. The support vector machine algorithm is used to predict the daily load data of the power grid, and the constant power algorithm is proposed to control the battery control node signal. Finally, taking the battery compartment of the energy storage system as the simulation object, the effectiveness of the proposed control strategy is verified, which provides a theoretical basis for the topic research. |
| first_indexed | 2024-03-13T01:19:55Z |
| format | Article |
| id | doaj.art-e3c2c2c537134974888e2a34e592cf8a |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T01:19:55Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e3c2c2c537134974888e2a34e592cf8a2023-07-05T05:16:28ZengElsevierEnergy Reports2352-48472023-06-019182189Research on modeling and control strategy of lithium battery energy storage system in new energy consumptionJianlin Li0Yaxin Li1Lingyi Ma2Zhaohui Li3Kun Ma4Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration (North China University of Technology), Beijing, 100144, ChinaBeijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration (North China University of Technology), Beijing, 100144, China; Corresponding author.Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration (North China University of Technology), Beijing, 100144, ChinaElectric Power Scientific Research Institute of State Grid Henan Province Electric Power Company, Henan 450015, ChinaChina Petroleum Engineering& Construction Corp Beijing Engineering Company, Beijing 100086, ChinaEnergy storage technology is one of the effective means to promote the consumption of new energy. It has the advantages of improving the flexibility and stability of power grid. Energy storage plays an important role in improving the peaking and valley filling function of the load side of the power grid. Based on the two-stage topology of the energy storage system, this paper establishes the mirror model of the practical application engineering of the energy storage system, and uses the data-driven method to establish the energy storage battery model. On this basis, the multi-objective control strategy is adopted for the peak regulating power of the energy storage system and the load state balance of the battery. The support vector machine algorithm is used to predict the daily load data of the power grid, and the constant power algorithm is proposed to control the battery control node signal. Finally, taking the battery compartment of the energy storage system as the simulation object, the effectiveness of the proposed control strategy is verified, which provides a theoretical basis for the topic research.http://www.sciencedirect.com/science/article/pii/S235248472300207XEnergy storagePeak-shaving and valley-fillingMulti-objective controlSimulation model |
| spellingShingle | Jianlin Li Yaxin Li Lingyi Ma Zhaohui Li Kun Ma Research on modeling and control strategy of lithium battery energy storage system in new energy consumption Energy Reports Energy storage Peak-shaving and valley-filling Multi-objective control Simulation model |
| title | Research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| title_full | Research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| title_fullStr | Research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| title_full_unstemmed | Research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| title_short | Research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| title_sort | research on modeling and control strategy of lithium battery energy storage system in new energy consumption |
| topic | Energy storage Peak-shaving and valley-filling Multi-objective control Simulation model |
| url | http://www.sciencedirect.com/science/article/pii/S235248472300207X |
| work_keys_str_mv | AT jianlinli researchonmodelingandcontrolstrategyoflithiumbatteryenergystoragesysteminnewenergyconsumption AT yaxinli researchonmodelingandcontrolstrategyoflithiumbatteryenergystoragesysteminnewenergyconsumption AT lingyima researchonmodelingandcontrolstrategyoflithiumbatteryenergystoragesysteminnewenergyconsumption AT zhaohuili researchonmodelingandcontrolstrategyoflithiumbatteryenergystoragesysteminnewenergyconsumption AT kunma researchonmodelingandcontrolstrategyoflithiumbatteryenergystoragesysteminnewenergyconsumption |