CUED Publications database

Real-time fault diagnosis for large-scale nonlinear power networks

Pan, W and Yuan, Y and Sandberg, H and Gonçalves, J and Stan, GB (2013) Real-time fault diagnosis for large-scale nonlinear power networks. Proceedings of the IEEE Conference on Decision and Control. pp. 2340-2345. ISSN 0191-2216

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In this paper, automatic fault diagnosis in large scale power networks described by second-order nonlinear swing equations is studied. This work focuses on a class of faults that occur in the transmission lines. Transmission line protection is an important issue in power system engineering because a large portion of power system faults is occurring in transmission lines. This paper presents a novel technique to detect, isolate and identify the faults on transmissions using only a small number of observations. We formulate the problem of fault diagnosis of nonlinear power network into a compressive sensing framework and derive an optimisation-based formulation of the fault identification problem. An iterative reweighted ℓ1-minimisation algorithm is finally derived to solve the detection problem efficiently. Under the proposed framework, a real-time fault monitoring scheme can be built using only measurements of phase angles of nonlinear power networks. © 2013 IEEE.

Item Type: Article
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:06
Last Modified: 31 Aug 2021 07:08
DOI: 10.1109/CDC.2013.6760230