On-Line Coherency Recognition and Identification of the Reduced Order System Using Phasor Measurement Units

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Phasor measurement units are increasingly being deployed in modern power systems for smart management of the networks. One of important application of such units is to check the system stability conditions. Traditional methods for transient stability assessments have gained little attention in power industry, as they need right modeling of the large-scale power networks with nonlinear models for generators and loads, which are not readily available.
In this paper, a new technique is presented for on-line coherency recognition and identification of the reduced order system. In the proposed method, the only requirement is to have access to some measurement data from Phasor measurement units. The new method involves: coherency recognition, model order reduction and parameter estimation. Finally, time domain simulation of the reduced order system is used for the transient stability assessment. Simulation results show that identified reduced order model by the proposed method is valid for transient stability assessment even if the operating conditions and system configurations and parameters are not available or change, as it only uses the on-line measurement data. The result in the proposed algorithm is independent of the kind of disturbance and its location in power system

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Reduced Order Systems; Power System Identification; Power System Parameter Estimation; Power System Transient Stability

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