Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids
This study presents a Software-Defined Transmission Grid (SDTG) framework, integrated with digital and cyber-physical systems, to enable data-driven control within a smart transmission grid. The framework aims to improve grid reliability and accelerate fault recovery. We utilized the Schur complemen...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10776954/ |
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| author | Javad Fattahi |
| author_facet | Javad Fattahi |
| author_sort | Javad Fattahi |
| collection | DOAJ |
| description | This study presents a Software-Defined Transmission Grid (SDTG) framework, integrated with digital and cyber-physical systems, to enable data-driven control within a smart transmission grid. The framework aims to improve grid reliability and accelerate fault recovery. We utilized the Schur complement network reduction technique in the digital model of SDTG to improve grid control through data-driven strategies, with a specific emphasis on rapid system fault recovery. Mathematical proofs based on classic circuit and algebraic graph theories were presented to confirm the effectiveness of the reduced network. Additionally, we introduced a data-driven optimal control approach and demonstrated that the optimal control input can be obtained from a finite set of past control signals, even in the absence of explicit knowledge regarding fault types or the grid’s dynamic response. The proposed methodology enhances grid management and offers a flexible and scalable framework for post-fault operation and grid restoration, serving as a foundational approach in other complex transmission grid management scenarios. The effectiveness of this approach was validated through numerical case studies. |
| format | Article |
| id | doaj-art-fc806a57727440609cb2c1b1f8eec844 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-fc806a57727440609cb2c1b1f8eec8442024-12-11T00:06:00ZengIEEEIEEE Access2169-35362024-01-011218335418336810.1109/ACCESS.2024.351067210776954Data-Driven Fault Recovery With Software-Defined Smart Transmission GridsJavad Fattahi0https://orcid.org/0000-0001-7711-0054School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, CanadaThis study presents a Software-Defined Transmission Grid (SDTG) framework, integrated with digital and cyber-physical systems, to enable data-driven control within a smart transmission grid. The framework aims to improve grid reliability and accelerate fault recovery. We utilized the Schur complement network reduction technique in the digital model of SDTG to improve grid control through data-driven strategies, with a specific emphasis on rapid system fault recovery. Mathematical proofs based on classic circuit and algebraic graph theories were presented to confirm the effectiveness of the reduced network. Additionally, we introduced a data-driven optimal control approach and demonstrated that the optimal control input can be obtained from a finite set of past control signals, even in the absence of explicit knowledge regarding fault types or the grid’s dynamic response. The proposed methodology enhances grid management and offers a flexible and scalable framework for post-fault operation and grid restoration, serving as a foundational approach in other complex transmission grid management scenarios. The effectiveness of this approach was validated through numerical case studies.https://ieeexplore.ieee.org/document/10776954/Data-drivenoptimal controlsmart transmission gridsdigital twinssoftware-defined |
| spellingShingle | Javad Fattahi Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids IEEE Access Data-driven optimal control smart transmission grids digital twins software-defined |
| title | Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids |
| title_full | Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids |
| title_fullStr | Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids |
| title_full_unstemmed | Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids |
| title_short | Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids |
| title_sort | data driven fault recovery with software defined smart transmission grids |
| topic | Data-driven optimal control smart transmission grids digital twins software-defined |
| url | https://ieeexplore.ieee.org/document/10776954/ |
| work_keys_str_mv | AT javadfattahi datadrivenfaultrecoverywithsoftwaredefinedsmarttransmissiongrids |