737 research outputs found
Joint Frequency Regulation and Economic Dispatch Using Limited Communication
We study the performance of a decentralized integral control scheme for joint
power grid frequency regulation and economic dispatch. We show that by properly
designing the controller gains, after a power flow perturbation, the control
achieves near-optimal economic dispatch while recovering the nominal frequency,
without requiring any communication. We quantify the gap between the
controllable power generation cost under the decentralized control scheme and
the optimal cost, based on the DC power flow model. Moreover, we study the
tradeoff between the cost and the convergence time, by adjusting parameters of
the control scheme.
Communication between generators reduces the convergence time. We identify
key communication links whose failures have more significant impacts on the
performance of a distributed power grid control scheme that requires
information exchange between neighbors
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System
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
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