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

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

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	English (US)
Title of host publication	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128221
DOIs	https://doi.org/10.1109/PMAPS47429.2020.9183703
State	Published - Aug 2020
Externally published	Yes
Event	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Liege, Belgium Duration: Aug 18 2020 → Aug 21 2020

Publication series

Name	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings

Conference

Conference	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020
Country/Territory	Belgium
City	Liege
Period	8/18/20 → 8/21/20

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Statistics, Probability and Uncertainty
Energy Engineering and Power Technology
Safety, Risk, Reliability and Quality
Statistics and Probability

Keywords

Dynamic state estimation
Koopman operator
extended dynamic mode decomposition
modal analysis

Access to Document

10.1109/PMAPS47429.2020.9183703

Cite this

Netto, M., Krishnan, V., Mili, L., Sharma, P., & Ajjarapu, V. (2020). Real-Time Modal Analysis of Electric Power Grids-The Need for Dynamic State Estimation. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings Article 9183703 (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMAPS47429.2020.9183703

Netto, Marcos ; Krishnan, Venkat ; Mili, Lamine et al. / Real-Time Modal Analysis of Electric Power Grids-The Need for Dynamic State Estimation. 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings).

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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.",

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

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

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 ; Conference date: 18-08-2020 Through 21-08-2020",

year = "2020",

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doi = "10.1109/PMAPS47429.2020.9183703",

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Netto, M, Krishnan, V, Mili, L, Sharma, P & Ajjarapu, V 2020, Real-Time Modal Analysis of Electric Power Grids-The Need for Dynamic State Estimation. in 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings., 9183703, 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020, Liege, Belgium, 8/18/20. https://doi.org/10.1109/PMAPS47429.2020.9183703

Real-Time Modal Analysis of Electric Power Grids-The Need for Dynamic State Estimation. / Netto, Marcos; Krishnan, Venkat; Mili, Lamine et al.
2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9183703 (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings).

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

TY - GEN

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AU - Netto, Marcos

AU - Krishnan, Venkat

AU - Mili, Lamine

AU - Sharma, Pranav

AU - Ajjarapu, Venkataramana

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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 - Koopman operator

KW - extended dynamic mode decomposition

KW - modal analysis

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Netto M, Krishnan V, Mili L, Sharma P, Ajjarapu V. Real-Time Modal Analysis of Electric Power Grids-The Need for Dynamic State Estimation. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9183703. (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings). doi: 10.1109/PMAPS47429.2020.9183703

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

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All Science Journal Classification (ASJC) codes

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