Nonlinear damping computation and envelope detection using Hilbert transform and its application to power systems wide area monitoring

Dina Shona Laila; M. Larsson; B. C. Pal; P. Korba [Unknown]

doi:10.1109/PES.2009.5275889

Nonlinear damping computation and envelope detection using Hilbert transform and its application to power systems wide area monitoring

Dina Shona Laila, M. Larsson, B. C. Pal, P. Korba [Unknown]

Research output: Contribution to conference › Paper

33 Citations (Scopus)

Abstract

An important feature of an oscillation is the damping characterization. For a system, the damping characteristic of the oscillation that occurs on its states or outputs gives the information of the stability of the system. There are various techniques to compute the damping ratio of a linear model of a system, but the tools that apply to nonlinear systems are scarce. In this paper, we utilize the Hilbert transform of nonlinear and nonstationary oscillatory signals to compute the instantaneous damping of the signals. The technique is applied to the computation of the damping ratio of power systems signals that contain inter area oscillations. This damping computation is important for power system monitoring.

Original language	English
DOIs	https://doi.org/10.1109/PES.2009.5275889
Publication status	Published - 2 Oct 2009
Event	IEEE Power & Energy Society General Meeting - Calgary, Canada Duration: 26 Jul 2009 → 30 Jul 2009

Conference

Conference	IEEE Power & Energy Society General Meeting
Country/Territory	Canada
City	Calgary
Period	26/07/09 → 30/07/09

Bibliographical note

The full text is currently unavailable on the repository.

Keywords

Damping
Envelope detectors
Power systems
Monitoring
Power system reliability
Power system dynamics
Power system interconnection
Frequency
Power system stability
Power system modeling
power system stability
damping
Hilbert transforms
nonlinear systems
power system measurement
inter area oscillations
nonlinear damping computation
envelope detection
Hilbert transform
power system wide area monitoring
system stability
linear model
nonlinear system
nonstationary oscillatory signal
instantaneous damping
Power system monitoring
Instantaneous damping
Damping ratio
Second order systems
Inter area oscillation

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10.1109/PES.2009.5275889

Cite this

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title = "Nonlinear damping computation and envelope detection using Hilbert transform and its application to power systems wide area monitoring",

abstract = "An important feature of an oscillation is the damping characterization. For a system, the damping characteristic of the oscillation that occurs on its states or outputs gives the information of the stability of the system. There are various techniques to compute the damping ratio of a linear model of a system, but the tools that apply to nonlinear systems are scarce. In this paper, we utilize the Hilbert transform of nonlinear and nonstationary oscillatory signals to compute the instantaneous damping of the signals. The technique is applied to the computation of the damping ratio of power systems signals that contain inter area oscillations. This damping computation is important for power system monitoring.",

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author = "Laila, {Dina Shona} and M. Larsson and Pal, {B. C.} and [Unknown], {P. Korba}",

note = "The full text is currently unavailable on the repository.; IEEE Power & Energy Society General Meeting ; Conference date: 26-07-2009 Through 30-07-2009",

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doi = "10.1109/PES.2009.5275889",

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AU - Laila, Dina Shona

AU - Larsson, M.

AU - Pal, B. C.

AU - [Unknown], P. Korba

N1 - The full text is currently unavailable on the repository.

PY - 2009/10/2

Y1 - 2009/10/2

N2 - An important feature of an oscillation is the damping characterization. For a system, the damping characteristic of the oscillation that occurs on its states or outputs gives the information of the stability of the system. There are various techniques to compute the damping ratio of a linear model of a system, but the tools that apply to nonlinear systems are scarce. In this paper, we utilize the Hilbert transform of nonlinear and nonstationary oscillatory signals to compute the instantaneous damping of the signals. The technique is applied to the computation of the damping ratio of power systems signals that contain inter area oscillations. This damping computation is important for power system monitoring.

AB - An important feature of an oscillation is the damping characterization. For a system, the damping characteristic of the oscillation that occurs on its states or outputs gives the information of the stability of the system. There are various techniques to compute the damping ratio of a linear model of a system, but the tools that apply to nonlinear systems are scarce. In this paper, we utilize the Hilbert transform of nonlinear and nonstationary oscillatory signals to compute the instantaneous damping of the signals. The technique is applied to the computation of the damping ratio of power systems signals that contain inter area oscillations. This damping computation is important for power system monitoring.

KW - Damping

KW - Envelope detectors

KW - Power systems

KW - Monitoring

KW - Power system reliability

KW - Power system dynamics

KW - Power system interconnection

KW - Frequency

KW - Power system stability

KW - Power system modeling

KW - power system stability

KW - damping

KW - Hilbert transforms

KW - nonlinear systems

KW - power system measurement

KW - inter area oscillations

KW - nonlinear damping computation

KW - envelope detection

KW - Hilbert transform

KW - power system wide area monitoring

KW - system stability

KW - linear model

KW - nonlinear system

KW - nonstationary oscillatory signal

KW - instantaneous damping

KW - Power system monitoring

KW - Instantaneous damping

KW - Damping ratio

KW - Second order systems

KW - Inter area oscillation

U2 - 10.1109/PES.2009.5275889

DO - 10.1109/PES.2009.5275889

M3 - Paper

T2 - IEEE Power & Energy Society General Meeting

Y2 - 26 July 2009 through 30 July 2009

ER -

Nonlinear damping computation and envelope detection using Hilbert transform and its application to power systems wide area monitoring

Abstract

Conference

Bibliographical note

Keywords

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