A model-based decoupling observer to locate forced oscillation sources in mechanical power

Li, Shangyuan; Luan, Moude; Gan, Deqiang; Wu, Di

doi:10.1016/j.ijepes.2018.05.014

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…As a result, the different patterns of variable latencies will reduce the accuracy of FO detection. Next, 𝑓𝑓 𝜏𝜏 (𝑡𝑡) can be written in the form of constant and variable parts as given in [13,14].…”

Section: A Impacts Of Variable Latencies On Measured Signalsmentioning

confidence: 99%

“…, 𝐘𝐘 𝑐𝑐,𝑁𝑁 𝑠𝑠 (𝑁𝑁 𝑠𝑠 ∆𝑇𝑇 𝑠𝑠 )]. (13) Different percentages of packet drop in ( 13) can be written by (14).…”

Section: B Impacts Of Packet Loss On Measured Signalsmentioning

confidence: 99%

“…The results demonstrated that the proposed RSA method can effectively distinguish the FOs from EMOs, even when the FO frequency is nearly equal to that of EMO. In [14], a model-based decoupling observer was used to locate the FO source. The method in [14] can only locate the FO source in the mechanical part of synchronous generators.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], a model-based decoupling observer was used to locate the FO source. The method in [14] can only locate the FO source in the mechanical part of synchronous generators. In [15], the frequency domain approach was applied to locate the I FO source in control devices.…”

Section: Introductionmentioning

confidence: 99%

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Forced Oscillation Detection Amid Communication Uncertainties

Surinkaew

Shah

Mithulananthan

et al. 2021

IEEE Systems Journal

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This paper proposes a novel technique for detection of forced oscillation (FO) in a power system when the measured signals received through the communication channels are uncertain. Impacts of communication uncertainties on measured signals are theoretically investigated based on mathematical models developed in this paper. The proposed data recovery method is applied to reconstruct the signal under the effects of communication losses. The proposed FO detection considering communication uncertainties is evaluated in the modified 14-Machine Southeast Australian (SE-A) power system. Rigorous comparative analysis is made to examine the effectiveness of the proposed data recovery and FO detection methods.

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Section: A Impacts Of Variable Latencies On Measured Signalsmentioning

confidence: 99%

“…, 𝐘𝐘 𝑐𝑐,𝑁𝑁 𝑠𝑠 (𝑁𝑁 𝑠𝑠 ∆𝑇𝑇 𝑠𝑠 )]. (13) Different percentages of packet drop in ( 13) can be written by (14).…”

Section: B Impacts Of Packet Loss On Measured Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Forced Oscillation Detection Amid Communication Uncertainties

Surinkaew

Shah

Mithulananthan

et al. 2021

IEEE Systems Journal

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show abstract

“…The few papers on this topic focus mainly on electric motor condition diagnosis based on instantaneous electric power, for stator turn fault detection [ 37 ] and mechanical imbalances of the rotor [ 38 ], or based on power factor [ 39 ] evolution. It seems that, according to the literature, instantaneous electrical power is a better approach than active electric power to the description of free and forced mechanical oscillations, as periodical mechanical loading, in driven machines and systems [ 40 ], to the description of simulated vibrations [ 41 ] and experimentally revealed vibrations [ 42 ] at resonance or to the description of active damping [ 43 ] in electrically actuated mechanical systems.…”

Section: Introductionmentioning

confidence: 99%

On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines

Horodincă

Bumbu

Chitariu

et al. 2023

Sensors

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This paper presents some advances in condition monitoring for rotary machines (particularly for a lathe headstock gearbox) running idle with a constant speed, based on the behaviour of a driving three-phase AC asynchronous induction motor used as a sensor of the mechanical power via the absorbed electrical power. The majority of the variable phenomena involved in this condition monitoring are periodical (machines having rotary parts) and should be mechanically supplied through a variable electrical power absorbed by a motor with periodical components (having frequencies equal to the rotational frequency of the machine parts). The paper proposes some signal processing and analysis methods for the variable part of the absorbed electrical power (or its constituents: active and instantaneous power, instantaneous current, power factor, etc.) in order to achieve a description of these periodical constituents, each one often described as a sum of sinusoidal components with a fundamental and some harmonics. In testing these methods, the paper confirms the hypothesis that the evolution of the electrical power (instantaneous and active) has a predominantly deterministic character. Two main signal analysis methods were used, with good, comparable results: the fast Fourier transform of short and long signal sequences (for the frequency domain) and the curve fitting estimation (in the time domain). The determination of the amplitude, frequency and phase at origin of time for each of these components helps to describe the condition (normal or abnormal) of the machine parts. Several achievements confirm the viability of this study: a characterization of a flat driving belt condition and a beating power phenomenon generated by two rotary shafts inside the gearbox. For comparison purposes, the same signal analysis methods were applied to describe the evolution of the vibration signal and the instantaneous angular speed signal at the gearbox output spindle. Many similarities in behaviour among certain mechanical parts (including their electrical power, vibration and instantaneous angular speed) were highlighted.

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Higher-order motif-based time series classification for forced oscillation source location in power grids

Huo,

Chen

2023

Nonlinear Dyn

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A model-based decoupling observer to locate forced oscillation sources in mechanical power

Cited by 6 publications

References 19 publications

Forced Oscillation Detection Amid Communication Uncertainties

Forced Oscillation Detection Amid Communication Uncertainties

On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines

Higher-order motif-based time series classification for forced oscillation source location in power grids

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