Local Frequency-Based Estimation of the Rate of Change of Frequency of the Center of Inertia

This letter proposes a novel technique for estimating the rate of change of frequency (RoCoF) of the center of inertia (CoI) in power systems. To offer a holistic picture of the system's frequency response, the proposed technique requires local frequency at the point of measurement, only. This enables the local estimation of active power deficit following a loss of generation (LoG) event, thus facilitating fast and effective remedial action. Extensive simulations conducted verify the effectiveness and applicability of the proposed technique.

[1]  Guglielmo Frigo,et al.  PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System Applications , 2019, IEEE Transactions on Instrumentation and Measurement.

[2]  Romeo Ortega,et al.  Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing , 2018, IEEE Transactions on Power Systems.

[3]  Federico Milano,et al.  Robust Frequency Divider for Power System Online Monitoring and Control , 2018, IEEE Transactions on Power Systems.

[4]  V. Terzija,et al.  Direct estimation of voltage phasor, frequency and its rate of change using Newton's iterative method , 1994 .

[5]  V. Terzija,et al.  Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation , 2006, IEEE Transactions on Power Systems.

[6]  Ali Mohammad Ranjbar,et al.  Frequency stability improvement in wind‐thermal dominated power grids , 2019, IET Generation, Transmission & Distribution.

[7]  Alireza Soroudi,et al.  Probabilistic Under Frequency Load Shedding Considering RoCoF Relays of Distributed Generators , 2018, IEEE Transactions on Power Systems.

[8]  K. Uhlen,et al.  Estimation of Power System Inertia From Ambient Wide Area Measurements , 2018, IEEE Transactions on Power Systems.

[9]  Vladimir V. Terzija,et al.  Wide Area Inter-Area Oscillation Monitoring Using Fast Nonlinear Estimation Algorithm , 2013, IEEE Transactions on Smart Grid.

[10]  Goran Andersson,et al.  Impact of Low Rotational Inertia on Power System Stability and Operation , 2013, 1312.6435.