Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient
As the power system develops towards a high proportion of renewable energy sources and power electronic devices, the power system suffers from poor frequency stability due to the lack of synthetic inertia. The grid-forming energy storage can not only improve the frequency dynamic response of the gen...
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5544 |
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| author | Kaize Zheng Le Wang Zhenghong Tu Ying Xu |
| author_facet | Kaize Zheng Le Wang Zhenghong Tu Ying Xu |
| author_sort | Kaize Zheng |
| collection | DOAJ |
| description | As the power system develops towards a high proportion of renewable energy sources and power electronic devices, the power system suffers from poor frequency stability due to the lack of synthetic inertia. The grid-forming energy storage can not only improve the frequency dynamic response of the generator and enhance inertia support capability but can also realize the peak regulation and valley filling of the power system. But its relatively high configuration cost restricts its development and construction. Therefore, how to rationally configure the grid-forming energy storage and grid-following energy storage within the power system by means of corresponding technical approaches has become the focal point of academic research. This study proposes a method for evaluating the inertia distribution characteristics of the power system based on the network equations of the power system. Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. Finally, an optimization configuration method for an energy storage system that can improve the inertia distribution characteristics of the power system is proposed, and its effectiveness is verified through the 39-bus system. |
| format | Article |
| id | doaj-art-d7058bf6bcb24776bbb8868b8b20b66f |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-d7058bf6bcb24776bbb8868b8b20b66f2025-08-20T02:33:30ZengMDPI AGApplied Sciences2076-34172025-05-011510554410.3390/app15105544Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation CoefficientKaize Zheng0Le Wang1Zhenghong Tu2Ying Xu3School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150006, ChinaDatang North China Electric Power Test and Research Institute, China Datang Corporation Science and Technology General Research Institute Co., Ltd., Beijing 100043, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150006, ChinaAs the power system develops towards a high proportion of renewable energy sources and power electronic devices, the power system suffers from poor frequency stability due to the lack of synthetic inertia. The grid-forming energy storage can not only improve the frequency dynamic response of the generator and enhance inertia support capability but can also realize the peak regulation and valley filling of the power system. But its relatively high configuration cost restricts its development and construction. Therefore, how to rationally configure the grid-forming energy storage and grid-following energy storage within the power system by means of corresponding technical approaches has become the focal point of academic research. This study proposes a method for evaluating the inertia distribution characteristics of the power system based on the network equations of the power system. Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. Finally, an optimization configuration method for an energy storage system that can improve the inertia distribution characteristics of the power system is proposed, and its effectiveness is verified through the 39-bus system.https://www.mdpi.com/2076-3417/15/10/5544inertia distribution characteristicsgrid-forming energy storageenergy storage system configurationinertia support capability |
| spellingShingle | Kaize Zheng Le Wang Zhenghong Tu Ying Xu Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient Applied Sciences inertia distribution characteristics grid-forming energy storage energy storage system configuration inertia support capability |
| title | Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient |
| title_full | Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient |
| title_fullStr | Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient |
| title_full_unstemmed | Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient |
| title_short | Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient |
| title_sort | optimization configuration method for grid forming and grid following energy storage based on node frequency deviation coefficient |
| topic | inertia distribution characteristics grid-forming energy storage energy storage system configuration inertia support capability |
| url | https://www.mdpi.com/2076-3417/15/10/5544 |
| work_keys_str_mv | AT kaizezheng optimizationconfigurationmethodforgridformingandgridfollowingenergystoragebasedonnodefrequencydeviationcoefficient AT lewang optimizationconfigurationmethodforgridformingandgridfollowingenergystoragebasedonnodefrequencydeviationcoefficient AT zhenghongtu optimizationconfigurationmethodforgridformingandgridfollowingenergystoragebasedonnodefrequencydeviationcoefficient AT yingxu optimizationconfigurationmethodforgridformingandgridfollowingenergystoragebasedonnodefrequencydeviationcoefficient |