Exploiting compressive system identification for multiple line outage detection in smart grids
© 2018 IEEE Due to system complexity and structural variations, real time power line outage detection (POD) and localization is a critical and challenging monitoring goal for modern smart grid (SG). Online monitoring of power lines status plays a major role in system-wide cascading blackout preventi...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74893 |
| _version_ | 1848763402613161984 |
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| author | Babakmehr, M. Harirchi, F. Al Durra, A. Muyeen, S.M. Simões, M. |
| author_facet | Babakmehr, M. Harirchi, F. Al Durra, A. Muyeen, S.M. Simões, M. |
| author_sort | Babakmehr, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 IEEE Due to system complexity and structural variations, real time power line outage detection (POD) and localization is a critical and challenging monitoring goal for modern smart grid (SG). Online monitoring of power lines status plays a major role in system-wide cascading blackout prevention. In this work, we aim to address the multiple POD problems by exploiting the compressive system identification (CSI) - a time efficient approach in complex network analysis. We consider a power network (PN) as a single graph and the mathematical formulation of POD is initialized using the DC power-flow model and graph theory concepts. The POD sparse recovery problem (POD-SRP) reported earlier is improved and generalized in case of large-scale multiple outages. The technical challenges from sparse recovery perspective are addressed through developing new SRP solvers. Moreover, a new sparse-based mathematical formulation for POD is termed as 'Binary-POD-SRP' to specifically address the signal dynamic range issue. Finally, using the IEEE standard test-beds, it is discussed how the inherent challenges within large-scale multiple-outages can be solved by applying these new techniques and formulations. |
| first_indexed | 2025-11-14T11:02:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-74893 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:02:54Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-748932019-02-19T05:36:04Z Exploiting compressive system identification for multiple line outage detection in smart grids Babakmehr, M. Harirchi, F. Al Durra, A. Muyeen, S.M. Simões, M. © 2018 IEEE Due to system complexity and structural variations, real time power line outage detection (POD) and localization is a critical and challenging monitoring goal for modern smart grid (SG). Online monitoring of power lines status plays a major role in system-wide cascading blackout prevention. In this work, we aim to address the multiple POD problems by exploiting the compressive system identification (CSI) - a time efficient approach in complex network analysis. We consider a power network (PN) as a single graph and the mathematical formulation of POD is initialized using the DC power-flow model and graph theory concepts. The POD sparse recovery problem (POD-SRP) reported earlier is improved and generalized in case of large-scale multiple outages. The technical challenges from sparse recovery perspective are addressed through developing new SRP solvers. Moreover, a new sparse-based mathematical formulation for POD is termed as 'Binary-POD-SRP' to specifically address the signal dynamic range issue. Finally, using the IEEE standard test-beds, it is discussed how the inherent challenges within large-scale multiple-outages can be solved by applying these new techniques and formulations. 2018 Conference Paper http://hdl.handle.net/20.500.11937/74893 10.1109/IAS.2018.8544714 restricted |
| spellingShingle | Babakmehr, M. Harirchi, F. Al Durra, A. Muyeen, S.M. Simões, M. Exploiting compressive system identification for multiple line outage detection in smart grids |
| title | Exploiting compressive system identification for multiple line outage detection in smart grids |
| title_full | Exploiting compressive system identification for multiple line outage detection in smart grids |
| title_fullStr | Exploiting compressive system identification for multiple line outage detection in smart grids |
| title_full_unstemmed | Exploiting compressive system identification for multiple line outage detection in smart grids |
| title_short | Exploiting compressive system identification for multiple line outage detection in smart grids |
| title_sort | exploiting compressive system identification for multiple line outage detection in smart grids |
| url | http://hdl.handle.net/20.500.11937/74893 |