@inproceedings{8b022574aa5c475c8d302661fcaaaedf,
title = "Exploiting compressive system identification for multiple line outage detection in smart grids",
abstract = "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.",
keywords = "Compressive system identification Sparse recovery, Cyber security, Power outage identification, Power system monitoring, Smart grid",
author = "Mohammad Babakmehr and Farnaz Harirchi and {Al Durra}, Ahmed and Muyeen, {S. M.} and Sim{\~o}es, {Marcelo Godoy}",
note = "Funding Information: This work was partially supported by CSM-PI grant 470039 and NSF CAREER grant CCF-1149225. Funding Information: This work was partially supported by CSM-PI grant 470039 and NSF CAREER grant CCF-1149225. 2 Within the rest of this work we interchangeably use the general CS-SR term instead of CSI. Publisher Copyright: {\textcopyright} 2018 IEEE; 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 ; Conference date: 23-09-2018 Through 27-09-2018",
year = "2018",
month = nov,
day = "26",
doi = "10.1109/IAS.2018.8544714",
language = "British English",
series = "2018 IEEE Industry Applications Society Annual Meeting, IAS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE Industry Applications Society Annual Meeting, IAS 2018",
address = "United States",
}