Power system modal analysis tool developed for industry use

Borden, Alexander R.; Lesieutre, Bernard C.; Gronquist, J.

doi:10.1109/naps.2013.6666956

Cited by 16 publications

(15 citation statements)

References 12 publications

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“…Before any analysis, however, we must first detrend the signals to ensure accurate mode estimates. Without detrending, data sets may look as if there are fewer to no oscillations that occur after an event, due to the scale of the oscillation relative to the scale of the entire data set [10]. As a result, performing modal analysis on a data set that is not detrended may result in identifying modes that are not due to the oscillation, but due to other components of the signal.…”

Section: Iterative Matrix Pencil Methodsmentioning

confidence: 99%

“…All ratios that fall below the threshold q are removed from consideration. The right singular matrix [V ] is used in conjunction with q to define two new matrices, (10).…”

Section: Matrix Pencil Methodsmentioning

confidence: 99%

“…While the Matrix Pencil method is more robust against noise, the modes are used to identify the mode shapes using a linear-least squares fit [9]. Due to the highly non-linear properties of power systems, techniques such as the Variable Projection Method (VPM) project the linear mode shapes into non-linear modes, thereby solving for a non-linear optimization problem [10,11]. Other techniques that have been proven to handle large, non-linear systems include Dynamic Mode Decomposition (DMD), which reports the modes of a large system in a computationally quick manner [12,13,14].…”

Section: Introductionmentioning

confidence: 99%

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Iterative Matrix Pencil Method for Power System Modal Analysis

Trinh

Shetye

Idehen

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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This paper introduces a modal analysis approach termed as the Iterative Matrix Pencil method. It uses the Matrix Pencil Method as the primary tool for mode identification, and adds to it by utilizing the concept of a cost function in order to reduce the number of signals needed to identify the modes for a large system. The method is tested for a variety of large synthetic power grids in this paper, with the cost function being reported to measure accuracy. A sensitivity analysis is also considered, showing how this new method behaves when adjusting the two primary user-based inputs; the number of iterations, and the SVD threshold.

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Section: Iterative Matrix Pencil Methodsmentioning

confidence: 99%

“…All ratios that fall below the threshold q are removed from consideration. The right singular matrix [V ] is used in conjunction with q to define two new matrices, (10).…”

Section: Matrix Pencil Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Iterative Matrix Pencil Method for Power System Modal Analysis

Trinh

Shetye

Idehen

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…For each mode, unique relationships among the four parameters are: a) when damping of a mode increases, the real part σ k changes from positive to negative, and vice versa; b) when frequency of a mode increases, the imaginary part ω k increases, and vice versa. In this paper, the variable projection method (VPM) is used to determine the characteristic modes observed from time series analysis [19]. We use oscillation frequency and damping ratio as metrics to analyze the locational impacts of inertia on system oscillation modes.…”

Section: Modal Analysismentioning

confidence: 99%

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

Jang

Overbye

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Inertial responses are seen by the system as the injection or withdrawal of electrical energy, corresponding to a change of frequency. The inertia of a machine primarily contributes to the power system transient stability. Oscillations are always present in the bulk power system due to the electromechanical nature of the grid. Poorly damped oscillations may cause system instability. Thus, this paper aims to study inertia's impacts on system primary frequency response, in particular on system oscillation modes. Both transient stability simulations and modal analysis are performed to provide insights into the extent to which inertia and its location influence the system oscillation behavior. Simulation results using both a small-scale test system and a large-scale synthetic network dynamic model are presented to verify the locational impacts of resource inertia.

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“…One example is a tool based on Variable Projection ( [12]) that was recently developed in parternship with industry. Also, there are several other publications that have presented improvements in algorithms ( [13], [14], [15]), and have utilized hybrid methods.…”

Section: Introductionmentioning

confidence: 99%

An interactive tool for measurement-driven modal analysis of large-scale power systems

Mohapatra

Overbye

2015

2015 IEEE Power and Energy Conference at Illinois (PECI)

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The desire to reduce model-dependency has driven measurement-based modal identification methods, as an alternative to analyzing linearized system models. One such measurement-based method is Dynamic Mode Decomposition (DMD), which has recently appeared in literature. Using this relatively fast DMD algorithm, this paper presents an interactive modal-identification tool for spatio-temporal analysis of measurement data. The tool can automatically scan through measurements, and display the values of oscillation frequency and damping ratio, as well as reconstruct signals. The use of this tool, its options, and visualization capabilities are illustrated using simulated measurements from an interconnected power grid.

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Power system modal analysis tool developed for industry use

Cited by 16 publications

References 12 publications

Iterative Matrix Pencil Method for Power System Modal Analysis

Iterative Matrix Pencil Method for Power System Modal Analysis

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

An interactive tool for measurement-driven modal analysis of large-scale power systems

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