Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements
Accurate topology estimation is crucial for effectively operating modern distribution networks. Line outages in a distribution network change the network topology by disconnecting some parts of the network from the main grid. In this paper, an outage detection (or topology estimation) algorithm for...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9018469/ |
| _version_ | 1819076868106616832 |
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| author | Basel Alnajjab Ananth Narayan Samudrala Chen Chen Rick S. Blum Soummya Kar Emma M. Stewart |
| author_facet | Basel Alnajjab Ananth Narayan Samudrala Chen Chen Rick S. Blum Soummya Kar Emma M. Stewart |
| author_sort | Basel Alnajjab |
| collection | DOAJ |
| description | Accurate topology estimation is crucial for effectively operating modern distribution networks. Line outages in a distribution network change the network topology by disconnecting some parts of the network from the main grid. In this paper, an outage detection (or topology estimation) algorithm for radial distribution networks is presented. The algorithm utilizes noisy power flow measurements collected from a subset of lines in the network, and statistical information characterizing errors in forecasting load demands. Additionally, a sensor placement scheme is presented. The sensor placement provides critical sensing for the outage detection algorithm so that any number of possible outages in the network can be detected. The performance of the proposed outage detection algorithm using the proposed sensor placement is demonstrated through several numerical results on the IEEE 123-node test feeder. |
| first_indexed | 2024-12-21T18:48:08Z |
| format | Article |
| id | doaj.art-800168ca60f84720a0dc2eb14297fa76 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-12-21T18:48:08Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-800168ca60f84720a0dc2eb14297fa762022-12-21T18:53:49ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202020-01-018231532410.35833/MPCE.2019.0000969018469Outage Detection for Distribution Networks Using Limited Number of Power Flow MeasurementsBasel Alnajjab0Ananth Narayan Samudrala1Chen Chen2Rick S. Blum3Soummya Kar4Emma M. Stewart5Department of Electrical and Computer Engineering; Lehigh University,Bethlehem,PA,USA,18015Lehigh University,Department of Electrical and Computer Engineering,Bethlehem,PA,USA,18015School of Electrical Engineering, Xi'an Jiaotong University,Xi'an,China,710049Lehigh University,Department of Electrical and Computer Engineering,Bethlehem,PA,USA,18015Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,PA,USA,15213Lawrence Livermore National Laboratory,Livermore,CA,USA,94550Accurate topology estimation is crucial for effectively operating modern distribution networks. Line outages in a distribution network change the network topology by disconnecting some parts of the network from the main grid. In this paper, an outage detection (or topology estimation) algorithm for radial distribution networks is presented. The algorithm utilizes noisy power flow measurements collected from a subset of lines in the network, and statistical information characterizing errors in forecasting load demands. Additionally, a sensor placement scheme is presented. The sensor placement provides critical sensing for the outage detection algorithm so that any number of possible outages in the network can be detected. The performance of the proposed outage detection algorithm using the proposed sensor placement is demonstrated through several numerical results on the IEEE 123-node test feeder.https://ieeexplore.ieee.org/document/9018469/Outage detectiondistribution networksmaximum likelihood (ML) detectionsensor placement |
| spellingShingle | Basel Alnajjab Ananth Narayan Samudrala Chen Chen Rick S. Blum Soummya Kar Emma M. Stewart Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements Journal of Modern Power Systems and Clean Energy Outage detection distribution networks maximum likelihood (ML) detection sensor placement |
| title | Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements |
| title_full | Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements |
| title_fullStr | Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements |
| title_full_unstemmed | Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements |
| title_short | Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements |
| title_sort | outage detection for distribution networks using limited number of power flow measurements |
| topic | Outage detection distribution networks maximum likelihood (ML) detection sensor placement |
| url | https://ieeexplore.ieee.org/document/9018469/ |
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