A Normal Form-Based Power System Out-of-Step Protection: Article No. 107873

Nnaemeka Ugwuanyi; Xavier Kestelyn; Olivier Thomas; Bogdan Marinescu; Bin Wang

doi:10.1016/j.epsr.2022.107873

A Normal Form-Based Power System Out-of-Step Protection: Article No. 107873

Nnaemeka Ugwuanyi, Xavier Kestelyn, Olivier Thomas, Bogdan Marinescu, Bin Wang

Energy Systems Integration

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes a new system-level application for monitoring out-of-step (OOS) events in power systems. As already known, amplitude-dependent frequency shift is a nonlinear phenomenon of electromechanical oscillations under large disturbances. The frequency shift indicates the system's nearness to instability. This new tool utilizes the Normal Form method to identify the named phenomenon, leading to accelerated OOS detection. The proposed strategy is illustrated and compared to the equal-area criterion method in a single-machine-infinite-bus power system. Extensive tests on IEEE 3- and IEEE 50-machine power systems prove the efficacy and potential of the proposed method for online warnings of instability and ranking of vulnerable system modes.

Original language	American English
Number of pages	11
Journal	Electric Power Systems Research
Volume	208
DOIs	https://doi.org/10.1016/j.epsr.2022.107873
State	Published - 2022

NREL Publication Number

NREL/JA-5C00-80262

Keywords

normal form
oscillation frequency drift
out-of-step prediction
transient stability

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10.1016/j.epsr.2022.107873

Cite this

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title = "A Normal Form-Based Power System Out-of-Step Protection: Article No. 107873",

abstract = "This paper proposes a new system-level application for monitoring out-of-step (OOS) events in power systems. As already known, amplitude-dependent frequency shift is a nonlinear phenomenon of electromechanical oscillations under large disturbances. The frequency shift indicates the system's nearness to instability. This new tool utilizes the Normal Form method to identify the named phenomenon, leading to accelerated OOS detection. The proposed strategy is illustrated and compared to the equal-area criterion method in a single-machine-infinite-bus power system. Extensive tests on IEEE 3- and IEEE 50-machine power systems prove the efficacy and potential of the proposed method for online warnings of instability and ranking of vulnerable system modes.",

keywords = "normal form, oscillation frequency drift, out-of-step prediction, transient stability",

author = "Nnaemeka Ugwuanyi and Xavier Kestelyn and Olivier Thomas and Bogdan Marinescu and Bin Wang",

year = "2022",

doi = "10.1016/j.epsr.2022.107873",

language = "American English",

volume = "208",

journal = "Electric Power Systems Research",

issn = "0378-7796",

publisher = "Elsevier BV",

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TY - JOUR

T1 - A Normal Form-Based Power System Out-of-Step Protection

T2 - Article No. 107873

AU - Ugwuanyi, Nnaemeka

AU - Kestelyn, Xavier

AU - Thomas, Olivier

AU - Marinescu, Bogdan

AU - Wang, Bin

PY - 2022

Y1 - 2022

N2 - This paper proposes a new system-level application for monitoring out-of-step (OOS) events in power systems. As already known, amplitude-dependent frequency shift is a nonlinear phenomenon of electromechanical oscillations under large disturbances. The frequency shift indicates the system's nearness to instability. This new tool utilizes the Normal Form method to identify the named phenomenon, leading to accelerated OOS detection. The proposed strategy is illustrated and compared to the equal-area criterion method in a single-machine-infinite-bus power system. Extensive tests on IEEE 3- and IEEE 50-machine power systems prove the efficacy and potential of the proposed method for online warnings of instability and ranking of vulnerable system modes.

AB - This paper proposes a new system-level application for monitoring out-of-step (OOS) events in power systems. As already known, amplitude-dependent frequency shift is a nonlinear phenomenon of electromechanical oscillations under large disturbances. The frequency shift indicates the system's nearness to instability. This new tool utilizes the Normal Form method to identify the named phenomenon, leading to accelerated OOS detection. The proposed strategy is illustrated and compared to the equal-area criterion method in a single-machine-infinite-bus power system. Extensive tests on IEEE 3- and IEEE 50-machine power systems prove the efficacy and potential of the proposed method for online warnings of instability and ranking of vulnerable system modes.

KW - normal form

KW - oscillation frequency drift

KW - out-of-step prediction

KW - transient stability

U2 - 10.1016/j.epsr.2022.107873

DO - 10.1016/j.epsr.2022.107873

M3 - Article

SN - 0378-7796

VL - 208

JO - Electric Power Systems Research

JF - Electric Power Systems Research

ER -

A Normal Form-Based Power System Out-of-Step Protection: Article No. 107873

Abstract

NREL Publication Number

Keywords

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