Real-Time Modal Analysis of Electric Power Grids - The Need for Dynamic State Estimation

Marcos Netto; Venkat Krishnan; Lamine Mili; Pranav Sharma; Venkataramana Ajjarapu

doi:10.1109/PMAPS47429.2020.9183703

Real-Time Modal Analysis of Electric Power Grids - The Need for Dynamic State Estimation

Marcos Netto, Venkat Krishnan, Lamine Mili, Pranav Sharma, Venkataramana Ajjarapu

Power Systems Engineering

Research output: Contribution to conference › Paper

1 Scopus Citations

Abstract

We articulate the reason why dynamic state estimation is needed to push the boundaries of the modal analysis of electric power grids in real-time operation. Then, we demonstrate how to unravel linear and nonlinear modes by using the extended dynamic mode decomposition along with estimates of the synchronous generators’ rotor angles and rotor speed deviations from nominal speed. The estimated modes are associated with electromechanical oscillations that take place continuously in electric power grids because of imbalances between power generation and demand. The numerical simulations are performed on a synthetic, albeit realistic, 2,000-bus network that was designed to resemble the electric power grid of Texas.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/PMAPS47429.2020.9183703
State	Published - 2020
Event	2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) - Liege, Belgium Duration: 18 Aug 2020 → 21 Aug 2020

Conference

Conference	2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
City	Liege, Belgium
Period	18/08/20 → 21/08/20

Bibliographical note

See NREL/CP-5D00-76124 for preprint

NREL Publication Number

NREL/CP-5D00-77870

Keywords

dynamic state estimation
extended dynamic mode decomposition
Koopman operator
modal analysis

Access to Document

10.1109/PMAPS47429.2020.9183703

Cite this

@conference{ee78409994de46939abfdbe28fbf8002,

title = "Real-Time Modal Analysis of Electric Power Grids - The Need for Dynamic State Estimation",

abstract = "We articulate the reason why dynamic state estimation is needed to push the boundaries of the modal analysis of electric power grids in real-time operation. Then, we demonstrate how to unravel linear and nonlinear modes by using the extended dynamic mode decomposition along with estimates of the synchronous generators{\textquoteright} rotor angles and rotor speed deviations from nominal speed. The estimated modes are associated with electromechanical oscillations that take place continuously in electric power grids because of imbalances between power generation and demand. The numerical simulations are performed on a synthetic, albeit realistic, 2,000-bus network that was designed to resemble the electric power grid of Texas.",

keywords = "dynamic state estimation, extended dynamic mode decomposition, Koopman operator, modal analysis",

author = "Marcos Netto and Venkat Krishnan and Lamine Mili and Pranav Sharma and Venkataramana Ajjarapu",

note = "See NREL/CP-5D00-76124 for preprint; 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ; Conference date: 18-08-2020 Through 21-08-2020",

year = "2020",

doi = "10.1109/PMAPS47429.2020.9183703",

language = "American English",

}

TY - CONF

T1 - Real-Time Modal Analysis of Electric Power Grids - The Need for Dynamic State Estimation

AU - Netto, Marcos

AU - Krishnan, Venkat

AU - Mili, Lamine

AU - Sharma, Pranav

AU - Ajjarapu, Venkataramana

N1 - See NREL/CP-5D00-76124 for preprint

PY - 2020

Y1 - 2020

N2 - We articulate the reason why dynamic state estimation is needed to push the boundaries of the modal analysis of electric power grids in real-time operation. Then, we demonstrate how to unravel linear and nonlinear modes by using the extended dynamic mode decomposition along with estimates of the synchronous generators’ rotor angles and rotor speed deviations from nominal speed. The estimated modes are associated with electromechanical oscillations that take place continuously in electric power grids because of imbalances between power generation and demand. The numerical simulations are performed on a synthetic, albeit realistic, 2,000-bus network that was designed to resemble the electric power grid of Texas.

AB - We articulate the reason why dynamic state estimation is needed to push the boundaries of the modal analysis of electric power grids in real-time operation. Then, we demonstrate how to unravel linear and nonlinear modes by using the extended dynamic mode decomposition along with estimates of the synchronous generators’ rotor angles and rotor speed deviations from nominal speed. The estimated modes are associated with electromechanical oscillations that take place continuously in electric power grids because of imbalances between power generation and demand. The numerical simulations are performed on a synthetic, albeit realistic, 2,000-bus network that was designed to resemble the electric power grid of Texas.

KW - dynamic state estimation

KW - extended dynamic mode decomposition

KW - Koopman operator

KW - modal analysis

U2 - 10.1109/PMAPS47429.2020.9183703

DO - 10.1109/PMAPS47429.2020.9183703

M3 - Paper

T2 - 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Y2 - 18 August 2020 through 21 August 2020

ER -

Real-Time Modal Analysis of Electric Power Grids - The Need for Dynamic State Estimation

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this