An extended SFR model based fast frequency security assessment method for power systems
The large-scale integration of renewable energy and the increasing access to power electronic equipment lead to the low inertia of power grid, which raises severe challenges to frequency security. The low inertia makes power system more sensible to power disturbances, and therefore, evaluating frequ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723007436 |
| _version_ | 1827824127130468352 |
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| author | Yuxiang Xia Qi Wang Cairan Miao Yi Tang |
| author_facet | Yuxiang Xia Qi Wang Cairan Miao Yi Tang |
| author_sort | Yuxiang Xia |
| collection | DOAJ |
| description | The large-scale integration of renewable energy and the increasing access to power electronic equipment lead to the low inertia of power grid, which raises severe challenges to frequency security. The low inertia makes power system more sensible to power disturbances, and therefore, evaluating frequency stability is crucial. To address this issue, a fast frequency security assessment method for power grid based on the extended SFR (system frequency response) model is proposed. In this method, an extended SFR model is established based on the characteristics of future new power systems, which are comprised of multiple frequency response sources, including induction motor load, renewable energy, and other asynchronous resources. To obtain the parameters of the proposed model, the principle and applicability of model parameter aggregation methods are explained. Considering the difficulty of obtaining all the required information in real-world situations, the parameters are obtained by parameter identification method through optimization algorithms. Finally, the effectiveness of the proposed extended SFR model is verified in the WSCC-9 bus system and the parameter identification method is validated in a regional power grid. The calculation time is less than 0.03s and the accuracy is more precise than conventional SFR. The results demonstrate that the proposed extended SFR model and parameter identification method show characteristics of both rapidity and accuracy in judging the security of power systems. |
| first_indexed | 2024-03-12T02:21:33Z |
| format | Article |
| id | doaj.art-ca762ad341d84de28a420201dbf0798a |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T02:21:33Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-ca762ad341d84de28a420201dbf0798a2023-09-06T04:52:19ZengElsevierEnergy Reports2352-48472023-09-01920452053An extended SFR model based fast frequency security assessment method for power systemsYuxiang Xia0Qi Wang1Cairan Miao2Yi Tang3School of Electrical Engineering, Southeast University, ChinaCorresponding author.; School of Electrical Engineering, Southeast University, ChinaSchool of Electrical Engineering, Southeast University, ChinaSchool of Electrical Engineering, Southeast University, ChinaThe large-scale integration of renewable energy and the increasing access to power electronic equipment lead to the low inertia of power grid, which raises severe challenges to frequency security. The low inertia makes power system more sensible to power disturbances, and therefore, evaluating frequency stability is crucial. To address this issue, a fast frequency security assessment method for power grid based on the extended SFR (system frequency response) model is proposed. In this method, an extended SFR model is established based on the characteristics of future new power systems, which are comprised of multiple frequency response sources, including induction motor load, renewable energy, and other asynchronous resources. To obtain the parameters of the proposed model, the principle and applicability of model parameter aggregation methods are explained. Considering the difficulty of obtaining all the required information in real-world situations, the parameters are obtained by parameter identification method through optimization algorithms. Finally, the effectiveness of the proposed extended SFR model is verified in the WSCC-9 bus system and the parameter identification method is validated in a regional power grid. The calculation time is less than 0.03s and the accuracy is more precise than conventional SFR. The results demonstrate that the proposed extended SFR model and parameter identification method show characteristics of both rapidity and accuracy in judging the security of power systems.http://www.sciencedirect.com/science/article/pii/S2352484723007436Frequency securityExtended SFR modelParameter identificationRenewable energyInduction motor load |
| spellingShingle | Yuxiang Xia Qi Wang Cairan Miao Yi Tang An extended SFR model based fast frequency security assessment method for power systems Energy Reports Frequency security Extended SFR model Parameter identification Renewable energy Induction motor load |
| title | An extended SFR model based fast frequency security assessment method for power systems |
| title_full | An extended SFR model based fast frequency security assessment method for power systems |
| title_fullStr | An extended SFR model based fast frequency security assessment method for power systems |
| title_full_unstemmed | An extended SFR model based fast frequency security assessment method for power systems |
| title_short | An extended SFR model based fast frequency security assessment method for power systems |
| title_sort | extended sfr model based fast frequency security assessment method for power systems |
| topic | Frequency security Extended SFR model Parameter identification Renewable energy Induction motor load |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723007436 |
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