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    Exploiting compressive system identification for multiple line outage detection in smart grids

    Access Status
    Fulltext not available
    Authors
    Babakmehr, M.
    Harirchi, F.
    Al Durra, A.
    Muyeen, S.M.
    Simões, M.
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    Babakmehr, M. and Harirchi, F. and Al Durra, A. and Muyeen, S. and Simões, M. 2018. Exploiting compressive system identification for multiple line outage detection in smart grids.
    Source Title
    2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
    DOI
    10.1109/IAS.2018.8544714
    ISBN
    9781538645369
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/74893
    Collection
    • Curtin Research Publications
    Abstract

    © 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.

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