Improved method for considering PMU's uncertainty and its effect on real-time stability assessment methods based on Thévenin equivalent

Angel Perez; Hjörtur Jóhannsson; Jacob Østergaard; Kenneth  Martin

Improved method for considering PMU's uncertainty and its effect on real-time stability assessment methods based on Thévenin equivalent

Angel Perez, Hjörtur Jóhannsson, Jacob Østergaard, Kenneth Martin

Research output: Contribution to conference › Paper › Research › peer-review

Abstract

This article characterizes experimentally the relation between phase and magnitude error from Phasor Measurement Units (PMU) in steady state and study its effect on real-time stability assessment methods. This is achieved by a set of laboratory tests applied to four different devices, where a bivariate Gaussian mixture distribution was used to represent the error, obtained experimentally, and later include it in the synthesized PMU measurement using the Monte Carlo Method. Two models for including uncertainty are compared and the results show that taking into account the correlation between magnitude and phase error reduces significantly the uncertainty in the calculated voltage stability indexes for all the study cases.

Original language	English
Publication date	2015
Number of pages	5
Publication status	Published - 2015

Projects

1 Finished

SOSPO: Secure Operation of Sustainable Power Systems

Østergaard, J., Jóhannsson, H., Nielsen, A. H., Garcia-Valle, R., Yang, G., Lind, M., Blanke, M., Weckesser, J. T. G., Wittrock, M. L., Møller, J. G., Perez, A., Pedersen, A. S. & Zhang, X.

01/01/2012 → 31/03/2016

Project: Research

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Cite this

Perez, A., Jóhannsson, H., Østergaard, J., & Martin, K. (2015). Improved method for considering PMU's uncertainty and its effect on real-time stability assessment methods based on Thévenin equivalent.

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abstract = "This article characterizes experimentally the relation between phase and magnitude error from Phasor Measurement Units (PMU) in steady state and study its effect on real-time stability assessment methods. This is achieved by a set of laboratory tests applied to four different devices, where a bivariate Gaussian mixture distribution was used to represent the error, obtained experimentally, and later include it in the synthesized PMU measurement using the Monte Carlo Method. Two models for including uncertainty are compared and the results show that taking into account the correlation between magnitude and phase error reduces significantly the uncertainty in the calculated voltage stability indexes for all the study cases.",

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AU - Østergaard, Jacob

AU - Martin, Kenneth

PY - 2015

Y1 - 2015

N2 - This article characterizes experimentally the relation between phase and magnitude error from Phasor Measurement Units (PMU) in steady state and study its effect on real-time stability assessment methods. This is achieved by a set of laboratory tests applied to four different devices, where a bivariate Gaussian mixture distribution was used to represent the error, obtained experimentally, and later include it in the synthesized PMU measurement using the Monte Carlo Method. Two models for including uncertainty are compared and the results show that taking into account the correlation between magnitude and phase error reduces significantly the uncertainty in the calculated voltage stability indexes for all the study cases.

AB - This article characterizes experimentally the relation between phase and magnitude error from Phasor Measurement Units (PMU) in steady state and study its effect on real-time stability assessment methods. This is achieved by a set of laboratory tests applied to four different devices, where a bivariate Gaussian mixture distribution was used to represent the error, obtained experimentally, and later include it in the synthesized PMU measurement using the Monte Carlo Method. Two models for including uncertainty are compared and the results show that taking into account the correlation between magnitude and phase error reduces significantly the uncertainty in the calculated voltage stability indexes for all the study cases.

M3 - Paper

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