On-line strength assessment of distribution systems with distributed energy resources
To enable the online strength assessment of distribution systems integrated with Distributed Energy Resources (DERs), a novel hybrid model and data-driven approach is proposed. Based on the IEC-60909 standard, a new short-circuit calculation method is developed, allowing inverter-based DERs (IBDERs)...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1514705/full |
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| author | Jifeng Liang Shiyang Rong Tengkai Yu Tiecheng Li Hanzhang Qu Ye Cao |
| author_facet | Jifeng Liang Shiyang Rong Tengkai Yu Tiecheng Li Hanzhang Qu Ye Cao |
| author_sort | Jifeng Liang |
| collection | DOAJ |
| description | To enable the online strength assessment of distribution systems integrated with Distributed Energy Resources (DERs), a novel hybrid model and data-driven approach is proposed. Based on the IEC-60909 standard, a new short-circuit calculation method is developed, allowing inverter-based DERs (IBDERs) to be represented as either voltage or current sources with controllable internal impedance. This method also accounts for the impact of distant generators by introducing a site-dependent Short Circuit Ratio (SCR) index to evaluate system strength. An adaptive sampling strategy is employed to generate synthetic data for real-time assessment. To predict the strength of distribution systems under various conditions, a rectified linear unit (ReLU) neural network is trained and further reformulated as a mixed-integer linear programming (MILP) problem to verify its robustness and input stability. The proposed method is validated through case studies on modified IEEE-33 and IEEE-69 bus systems, demonstrating its effectiveness regarding the varying operating conditions within the system. |
| format | Article |
| id | doaj-art-fd22ecc29e9246c8a88f977153eb08e0 |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-fd22ecc29e9246c8a88f977153eb08e02025-01-08T11:38:51ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-01-011210.3389/fenrg.2024.15147051514705On-line strength assessment of distribution systems with distributed energy resourcesJifeng Liang0Shiyang Rong1Tengkai Yu2Tiecheng Li3Hanzhang Qu4Ye Cao5State Grid Hebei Electric Power Research institute, Shijiazhuang, ChinaState Grid Hebei Electric Power Research institute, Shijiazhuang, ChinaState Grid Hebei Electric Power Research institute, Shijiazhuang, ChinaState Grid Hebei Electric Power Research institute, Shijiazhuang, ChinaSchool of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, ChinaTo enable the online strength assessment of distribution systems integrated with Distributed Energy Resources (DERs), a novel hybrid model and data-driven approach is proposed. Based on the IEC-60909 standard, a new short-circuit calculation method is developed, allowing inverter-based DERs (IBDERs) to be represented as either voltage or current sources with controllable internal impedance. This method also accounts for the impact of distant generators by introducing a site-dependent Short Circuit Ratio (SCR) index to evaluate system strength. An adaptive sampling strategy is employed to generate synthetic data for real-time assessment. To predict the strength of distribution systems under various conditions, a rectified linear unit (ReLU) neural network is trained and further reformulated as a mixed-integer linear programming (MILP) problem to verify its robustness and input stability. The proposed method is validated through case studies on modified IEEE-33 and IEEE-69 bus systems, demonstrating its effectiveness regarding the varying operating conditions within the system.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1514705/fullsystem strengthshort circuit ratiodistribution systemsinput stability verificationonline forecasting |
| spellingShingle | Jifeng Liang Shiyang Rong Tengkai Yu Tiecheng Li Hanzhang Qu Ye Cao On-line strength assessment of distribution systems with distributed energy resources Frontiers in Energy Research system strength short circuit ratio distribution systems input stability verification online forecasting |
| title | On-line strength assessment of distribution systems with distributed energy resources |
| title_full | On-line strength assessment of distribution systems with distributed energy resources |
| title_fullStr | On-line strength assessment of distribution systems with distributed energy resources |
| title_full_unstemmed | On-line strength assessment of distribution systems with distributed energy resources |
| title_short | On-line strength assessment of distribution systems with distributed energy resources |
| title_sort | on line strength assessment of distribution systems with distributed energy resources |
| topic | system strength short circuit ratio distribution systems input stability verification online forecasting |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1514705/full |
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