Analysis of electromechanical disturbance propagation in power systems

Mohapatra, Saurav; Zhu, Hao; Overbye, Thomas J.

doi:10.1109/ciasg.2013.6611494

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…( 1), in agreement with simulations [23], [26]. Moreover, the same power imbalance results typically in a larger change of frequency as more renewable energy is fed into the power grid, as has been observed in the US power grid [27], which has been related to both a decrease of the inertia and the reduction of governor response. While it is thus well established that with the increase of renewable energy resources the amplitude of frequency deviations, and the velocity with which these deviations spread throughout the power grid increases, its effect on the voltage dynamics and propagation has not been studied systematically, to the best of our knowledge.…”

Section: Disturbance Propagation -Reviewsupporting

confidence: 87%

“…The transients results of frequency deviations are shown in Figs. 27 at exemplary nodes at geodesic distances r of 0, 4, 8 to the fault location. In comparison with our observations in section VI-C when node 24, with k 24 = 7 was the fault location, we see overall similar behavior, but with different patterns in the beatings of the frequency transient.…”

Section: Appendix a Derivation Of 3rd Order Modelmentioning

confidence: 99%

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Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Nnoli

Delic²,

Kettemann

2023

IEEE Access

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Section: Disturbance Propagation -Reviewsupporting

confidence: 87%

Section: Appendix a Derivation Of 3rd Order Modelmentioning

confidence: 99%

Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Nnoli

Delic²,

Kettemann

2023

IEEE Access

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Section: Disturbance Propagation -Reviewsupporting

confidence: 87%

“…The transients results of frequency deviations are shown in Figs. 27 at exemplary nodes at geodesic distances r of 0, 4, 8 to the fault location. In comparison with our observations in Subsection VI-C when node 24, with k 24 = 7 was the fault location, we see overall similar behavior, but with different patterns in the beatings of the frequency transient.…”

Section: Appendixmentioning

confidence: 99%

Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Nnoli¹,

Delić²,

Kettemann³

2022

Preprint

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<p>The energy transition towards increased electric power production from renewable energy (RE) resources creates new challenges to ensure the stability of power grids. In conventional power grids voltage fluctuations can be controlled locally. Here, we explore whether the energy transition changes this situation. We study systematically the transients of voltage amplitude, phase and frequency deviations due to local contingencies in dependence on system inertia, heterogeneity and topology. The 3rd order dynamic power grid model is studied numerically and analytically and compared with real grid simulations for the Nigerian (330 kV) power grid and other grid models, using DigSILENT PowerFactory software. We provide a quantitative analysis of the parametric dependence of the velocity with which a disturbance propagates throughout the grid, and of the period of oscillations of the frequency and voltage transients. We find beating patterns in the transients which we identify as footprints of the location of the fault bus. We confirm that voltage deviations remain local for realistic ranges of parameters. However, we find that this no longer holds true when the electrical power in the grid approaches its critical value. We furthermore consider time dependent second moments of geodesic distance, weighted with frequency deviations and voltage deviations, respectively. We confirm thereby ballistic disturbance propagation in homogeneous model grids. However, in real grid simulations, we observe a linear time dependence of deviations indicating diffusive propagation due to multiple scattering from the inhomogeneities in these power grids.</p>

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“…It consists of about 18 000 buses and 2400 online generators. A time-step of 0.004 s was used, and a large generator was tripped at s, similar to the contingency scenario used in [17] and [18]. Fig.…”

Section: Introductionmentioning

confidence: 99%

Systematic Determination of Discrepancies Across Transient Stability Software Packages

Shetye

Overbye

Mohapatra

et al. 2016

IEEE Trans. Power Syst.

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Several transient stability software packages are widely used for power grid planning and operations. Prior research and software documentations have shown that packages can vary in the implementations of dynamic models, and hence could potentially yield different results for the same system simulation. This paper presents a systematic methodology to determine the sources of the discrepancies seen in results obtained from different transient stability packages. This methodology can be applied to various types of dynamic models and is illustrated with generator-associated dynamic models in this paper. Consistent metrics, data mining techniques, and engineering heuristics are used to determine the discrepancy sources. This hybrid top-down+bottom-up method has been implemented on a practical, large-system case to demonstrate its scalability and transferability to real-world system studies.Index Terms-Commercial software packages, data mining, dynamic models, power system transient stability, simulations. 0885-8950

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Analysis of electromechanical disturbance propagation in power systems

Cited by 5 publications

References 8 publications

Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

Systematic Determination of Discrepancies Across Transient Stability Software Packages

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