  Identifying the location of a disturbance and its magnitude is an important
component for stable operation of power systems. We study the problem of
localizing and estimating a disturbance in the interconnected power system. We
take a model-free approach to this problem by using frequency data from
generators. Specifically, we develop a logistic regression based method for
localization and a linear regression based method for estimation of the
magnitude of disturbance. Our model-free approach does not require the
knowledge of system parameters such as inertia constants and topology, and is
shown to achieve highly accurate localization and estimation performance even
in the presence of measurement noise and missing data.
