Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems
Due to the capability to perform participation factor analysis and oscillation origin location, the state–space model (SSM)-based eigenvalue method has been widely used for stability assessment of inverter-penetrated power systems. However, possible internal confidentiality of inverters i...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of the Industrial Electronics Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10310269/ |
| _version_ | 1797339225582993408 |
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| author | Weihua Zhou Jef Beerten |
| author_facet | Weihua Zhou Jef Beerten |
| author_sort | Weihua Zhou |
| collection | DOAJ |
| description | Due to the capability to perform participation factor analysis and oscillation origin location, the state–space model (SSM)-based eigenvalue method has been widely used for stability assessment of inverter-penetrated power systems. However, possible internal confidentiality of inverters impedes the derivation of their SSMs. In addition, conventional derivation procedure of system SSM can be tedious when complicated transmission network topology and various transmission cables are involved, which may result in a high-order system SSM. To this end, this article presents a black box-based incremental reduced-order modeling framework. The reduced-order SSMs of the inverters and transmission cables are extracted from their <inline-formula><tex-math notation="LaTeX">$dq$</tex-math></inline-formula>-domain admittance frequency responses and <inline-formula><tex-math notation="LaTeX">$abc$</tex-math></inline-formula>-domain impedance frequency responses, respectively, by the matrix fitting algorithm. Then, the SSM operators proposed in this article recursively assemble the components' fitted SSMs in the similar manner as the impedance model operator-based recursive components' impedance aggregation, while preserving the dynamics of individual components. Simulation results show that the presented state–space modeling framework can properly identify the state–space models of black-box devices at component modeling stage, simplify assembling procedure at subsystems/components integration stage, and release computational burden at system participation factor analysis stage. |
| first_indexed | 2024-03-08T09:42:52Z |
| format | Article |
| id | doaj.art-8720d97e8acd4aa68d245f03d811fc4a |
| institution | Directory Open Access Journal |
| issn | 2644-1284 |
| language | English |
| last_indexed | 2024-03-08T09:42:52Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Industrial Electronics Society |
| spelling | doaj.art-8720d97e8acd4aa68d245f03d811fc4a2024-01-30T00:05:55ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842023-01-01450651810.1109/OJIES.2023.333089410310269Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power SystemsWeihua Zhou0https://orcid.org/0000-0002-3056-5710Jef Beerten1https://orcid.org/0000-0002-8756-2983Department of Electrical Engineering, KU Leuven, Leuven, BelgiumDepartment of Electrical Engineering, KU Leuven, Leuven, BelgiumDue to the capability to perform participation factor analysis and oscillation origin location, the state–space model (SSM)-based eigenvalue method has been widely used for stability assessment of inverter-penetrated power systems. However, possible internal confidentiality of inverters impedes the derivation of their SSMs. In addition, conventional derivation procedure of system SSM can be tedious when complicated transmission network topology and various transmission cables are involved, which may result in a high-order system SSM. To this end, this article presents a black box-based incremental reduced-order modeling framework. The reduced-order SSMs of the inverters and transmission cables are extracted from their <inline-formula><tex-math notation="LaTeX">$dq$</tex-math></inline-formula>-domain admittance frequency responses and <inline-formula><tex-math notation="LaTeX">$abc$</tex-math></inline-formula>-domain impedance frequency responses, respectively, by the matrix fitting algorithm. Then, the SSM operators proposed in this article recursively assemble the components' fitted SSMs in the similar manner as the impedance model operator-based recursive components' impedance aggregation, while preserving the dynamics of individual components. Simulation results show that the presented state–space modeling framework can properly identify the state–space models of black-box devices at component modeling stage, simplify assembling procedure at subsystems/components integration stage, and release computational burden at system participation factor analysis stage.https://ieeexplore.ieee.org/document/10310269/Black boxinvertermatrix fittingorder reductionstate–space model (SSM) operatortransmission cable |
| spellingShingle | Weihua Zhou Jef Beerten Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems IEEE Open Journal of the Industrial Electronics Society Black box inverter matrix fitting order reduction state–space model (SSM) operator transmission cable |
| title | Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems |
| title_full | Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems |
| title_fullStr | Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems |
| title_full_unstemmed | Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems |
| title_short | Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems |
| title_sort | black box based incremental reduced order modeling framework of inverter based power systems |
| topic | Black box inverter matrix fitting order reduction state–space model (SSM) operator transmission cable |
| url | https://ieeexplore.ieee.org/document/10310269/ |
| work_keys_str_mv | AT weihuazhou blackboxbasedincrementalreducedordermodelingframeworkofinverterbasedpowersystems AT jefbeerten blackboxbasedincrementalreducedordermodelingframeworkofinverterbasedpowersystems |