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This paper proposes a novel method for estimating the inertia, damping, and mechanical power variation of power systems using short-term phasor measurement data during transient events. The method applies a linear least square optimization technique to the generator swing equation and utilizes a pair of sliding windows to capture the dynamic changes of the system. The method can estimate the inertia under different types of disturbances in real-time and track the inertia changes caused by secondary disturbances. The method is validated using simulations in the IEEE New England 10-machine system and compared with existing methods.

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A Multifunctional Online Estimation Method for Synchronous Inertia of Power Systems Using Short-time Phasor Transient Measurement Data with Linear Least Square Method After Disturbance