The Probabilistic Collocation Method for dealing with uncertainties in power system small disturbance studies

R. Preece; J. V. Milanovic

doi:10.1109/PESGM.2012.6344707

The Probabilistic Collocation Method for dealing with uncertainties in power system small disturbance studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper applies the Probabilistic Collocation Method (PCM) to modeling operational uncertainties in small disturbance power system studies. The PCM is a method of estimating the statistical distribution of a system output from the uncertain parameter values using significantly fewer full system simulations than traditional sampling techniques. The application of PCM is illustrated on a small, two area transmission system. Probabilistic locations for all system electromechanical modes in the presence of system uncertainties have been estimated accurately. Furthermore, the method provides vast time savings and could facilitate a move towards online probabilistic power system studies. © 2012 IEEE.

Original language	English
Title of host publication	IEEE Power and Energy Society General Meeting\|IEEE Power Energy Soc. Gen. Meet.
Publisher	IEEE
ISBN (Print)	9781467327275
DOIs	https://doi.org/10.1109/PESGM.2012.6344707
Publication status	Published - 2012
Event	2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA Duration: 1 Jul 2012 → …

Conference

Conference	2012 IEEE Power and Energy Society General Meeting, PES 2012
City	San Diego, CA
Period	1/07/12 → …

Keywords

Electromechanical modes
Monte Carlo
power oscillation damping
probabilistic collocation method
uncertainty
VSC-HVDC

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10.1109/PESGM.2012.6344707

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title = "The Probabilistic Collocation Method for dealing with uncertainties in power system small disturbance studies",

abstract = "This paper applies the Probabilistic Collocation Method (PCM) to modeling operational uncertainties in small disturbance power system studies. The PCM is a method of estimating the statistical distribution of a system output from the uncertain parameter values using significantly fewer full system simulations than traditional sampling techniques. The application of PCM is illustrated on a small, two area transmission system. Probabilistic locations for all system electromechanical modes in the presence of system uncertainties have been estimated accurately. Furthermore, the method provides vast time savings and could facilitate a move towards online probabilistic power system studies. {\textcopyright} 2012 IEEE.",

keywords = "Electromechanical modes, Monte Carlo, power oscillation damping, probabilistic collocation method, uncertainty, VSC-HVDC",

author = "R. Preece and Milanovic, {J. V.}",

year = "2012",

doi = "10.1109/PESGM.2012.6344707",

language = "English",

isbn = "9781467327275",

booktitle = "IEEE Power and Energy Society General Meeting|IEEE Power Energy Soc. Gen. Meet.",

publisher = "IEEE",

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note = "2012 IEEE Power and Energy Society General Meeting, PES 2012 ; Conference date: 01-07-2012",

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TY - GEN

T1 - The Probabilistic Collocation Method for dealing with uncertainties in power system small disturbance studies

AU - Preece, R.

AU - Milanovic, J. V.

PY - 2012

Y1 - 2012

N2 - This paper applies the Probabilistic Collocation Method (PCM) to modeling operational uncertainties in small disturbance power system studies. The PCM is a method of estimating the statistical distribution of a system output from the uncertain parameter values using significantly fewer full system simulations than traditional sampling techniques. The application of PCM is illustrated on a small, two area transmission system. Probabilistic locations for all system electromechanical modes in the presence of system uncertainties have been estimated accurately. Furthermore, the method provides vast time savings and could facilitate a move towards online probabilistic power system studies. © 2012 IEEE.

AB - This paper applies the Probabilistic Collocation Method (PCM) to modeling operational uncertainties in small disturbance power system studies. The PCM is a method of estimating the statistical distribution of a system output from the uncertain parameter values using significantly fewer full system simulations than traditional sampling techniques. The application of PCM is illustrated on a small, two area transmission system. Probabilistic locations for all system electromechanical modes in the presence of system uncertainties have been estimated accurately. Furthermore, the method provides vast time savings and could facilitate a move towards online probabilistic power system studies. © 2012 IEEE.

KW - Electromechanical modes

KW - Monte Carlo

KW - power oscillation damping

KW - probabilistic collocation method

KW - uncertainty

KW - VSC-HVDC

U2 - 10.1109/PESGM.2012.6344707

DO - 10.1109/PESGM.2012.6344707

M3 - Conference contribution

SN - 9781467327275

BT - IEEE Power and Energy Society General Meeting|IEEE Power Energy Soc. Gen. Meet.

PB - IEEE

T2 - 2012 IEEE Power and Energy Society General Meeting, PES 2012

Y2 - 1 July 2012

ER -

The Probabilistic Collocation Method for dealing with uncertainties in power system small disturbance studies

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