Online Fault Diagnosis for Nonlinear Power Systems

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 optimisationbased
formulation of the fault identification problem. An
iterative reweighted `1-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.