Dynamic modeling for VSG cluster by using data-physical driven method
In the task of system analysis for VSG cluster, aggregation modeling method is widely used for simplification. However, there are inevitable errors occur from the process of cluster aggregation. To improve the accuracy of VSG cluster modeling, a data-physical driven modeling method is presented. At...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722003535 |
| _version_ | 1798033930524295168 |
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| author | Yunlu Li Guiqing Ma Junyou Yang Yan Xu |
| author_facet | Yunlu Li Guiqing Ma Junyou Yang Yan Xu |
| author_sort | Yunlu Li |
| collection | DOAJ |
| description | In the task of system analysis for VSG cluster, aggregation modeling method is widely used for simplification. However, there are inevitable errors occur from the process of cluster aggregation. To improve the accuracy of VSG cluster modeling, a data-physical driven modeling method is presented. At first, the equivalence between aggregation error and black box modeling issue is analyzed. Secondly, a hybrid model structure is proposed, which consists of single machine aggregation model and deep neural network based aggregated-error model. Then, to illustrate the modeling procedure, test cases are studied under large disturbance and multi-operating points conditions. The simulation results confirm that the proposed method can provide satisfactory modeling accuracy. |
| first_indexed | 2024-04-11T20:37:14Z |
| format | Article |
| id | doaj.art-a9efa74af76247948aa954df9e8c08e1 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T20:37:14Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-a9efa74af76247948aa954df9e8c08e12022-12-22T04:04:20ZengElsevierEnergy Reports2352-48472022-08-018227234Dynamic modeling for VSG cluster by using data-physical driven methodYunlu Li0Guiqing Ma1Junyou Yang2Yan Xu3School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaCorresponding author.; School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaIn the task of system analysis for VSG cluster, aggregation modeling method is widely used for simplification. However, there are inevitable errors occur from the process of cluster aggregation. To improve the accuracy of VSG cluster modeling, a data-physical driven modeling method is presented. At first, the equivalence between aggregation error and black box modeling issue is analyzed. Secondly, a hybrid model structure is proposed, which consists of single machine aggregation model and deep neural network based aggregated-error model. Then, to illustrate the modeling procedure, test cases are studied under large disturbance and multi-operating points conditions. The simulation results confirm that the proposed method can provide satisfactory modeling accuracy.http://www.sciencedirect.com/science/article/pii/S2352484722003535Virtual synchronous generatorDynamic modelingDeep learningNeural network |
| spellingShingle | Yunlu Li Guiqing Ma Junyou Yang Yan Xu Dynamic modeling for VSG cluster by using data-physical driven method Energy Reports Virtual synchronous generator Dynamic modeling Deep learning Neural network |
| title | Dynamic modeling for VSG cluster by using data-physical driven method |
| title_full | Dynamic modeling for VSG cluster by using data-physical driven method |
| title_fullStr | Dynamic modeling for VSG cluster by using data-physical driven method |
| title_full_unstemmed | Dynamic modeling for VSG cluster by using data-physical driven method |
| title_short | Dynamic modeling for VSG cluster by using data-physical driven method |
| title_sort | dynamic modeling for vsg cluster by using data physical driven method |
| topic | Virtual synchronous generator Dynamic modeling Deep learning Neural network |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722003535 |
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