Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks

Abidin, Ahmad Farid; Mohamed, Azah; Shareef, Hussain

doi:10.1016/j.eswa.2011.05.050

Cited by 25 publications

(21 citation statements)

References 2 publications

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“…Abidin et.al in [8] introduced an analysis by using S-transform to extract information and characterize fault, stable swing, and unstable swing. This information is used as input signals to the probabilistic neural network (PNN) based arrangement scheme as presented in [8] to differentiate between stable and unstable power swing conditions and to detect fault during power swing.…”

Section: S-transformmentioning

confidence: 99%

“…Most importantly, it has shown to have absolute referenced phase information and frequency invariant amplitude response. Another key feature is its accurate time-frequency (amplitude-phase) information [8,52,55].…”

Section: S-transformmentioning

confidence: 99%

“…Another possible scenario occurs when a generation unit trips, the required electrical power from the remaining generators increases. Therefore, when the load on a machine is suddenly increased, the energy furnished by the rotor results in a decrease in the rotor angular velocity causing severe power swings [1,2,8,[14][15][16][17][18][19][20][21][22].…”

Section: Condition Impactmentioning

confidence: 99%

“…Power swing is defined as "large oscillation of power between two areas of a power system" [8]. It can be categorized into two types, stable and unstable swing.…”

Section: Background Studies: Power Swing Phenomenonmentioning

confidence: 99%

See 3 more Smart Citations

Progress on power swing blocking schemes and the impact of renewable energy on power swing characteristics: A review

Gunasegaran

Tan

Bakar

et al. 2015

Renewable and Sustainable Energy Reviews

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Section: S-transformmentioning

confidence: 99%

Section: S-transformmentioning

confidence: 99%

Section: Condition Impactmentioning

confidence: 99%

“…Power swing is defined as "large oscillation of power between two areas of a power system" [8]. It can be categorized into two types, stable and unstable swing.…”

Section: Background Studies: Power Swing Phenomenonmentioning

confidence: 99%

See 2 more Smart Citations

Progress on power swing blocking schemes and the impact of renewable energy on power swing characteristics: A review

Gunasegaran

Tan

Bakar

et al. 2015

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

“…Furthermore, these techniques allow to detect events and characterise (by using feature extraction) variations from measurement-based information [18]. For instance, methods such as wavelet [19] or S transforms [20] allow for efficiently monitoring electrical systems and implement real-time analysis scenarios [21,22]. In a recent investigation, an adaptive process noise covariance Kalman filter has been proposed for detecting the power quality disturbances [23].…”

Section: Signal Processing Techniquesmentioning

confidence: 99%

Power Quality: Scientific Collaboration Networks and Research Trends

et al. 2018

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Power quality is a research field related to the proper operation of devices and technological equipment in industry, service, and domestic activities. The level of power quality is determined by variations in voltage, frequency, and waveforms with respect to reference values. These variations correspond to different types of disturbances, including power fluctuations, interruptions, and transients. Several studies have been focused on analysing power quality issues. However, there is a lack of studies on the analysis of both the trending topics and the scientific collaboration network underlying the field of power quality. To address these aspects, an advanced model is used to retrieve data from publications related to power quality and analyse this information using a graph visualisation software and statistical tools. The results suggest that research interests are mainly focused on the analysis of power quality problems and mitigation techniques. Furthermore, they are observed important collaboration networks between researchers within and across countries.

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Distance protection using a time-frequency filtering technique

Dash

Swain

2014

Int. Trans. Electr. Energ. Syst.

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Summary The paper presents a new time–frequency formulation similar to the conventional discrete S‐transform but with a significantly increased speed of computation suitable for digital protection of power transmission lines. The new formulation uses frequency scaling, band pass filtering, and interpolation techniques to achieve fast and accurate estimation of fault location in an interconnected power system network. The new transform uses half cycle of the data prior to the initiation of the fault and half cycle data after the fault to yield impedance measurement at the relay location with significant accuracy even in the presence of decaying DC components, harmonics, and distortions due to noise. Several fault case studies have been performed to validate the performance of this new algorithm for different fault resistances and fault location along the protected line. For comparison, a recently proposed robust Gauss–Newton algorithm is used to produce impedance trajectories for the case studies attempted in this paper instead of the widely used discrete Fourier transform, which gives erroneous results in the presence of decaying DC and harmonic components. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks

Cited by 25 publications

References 2 publications

Progress on power swing blocking schemes and the impact of renewable energy on power swing characteristics: A review

Progress on power swing blocking schemes and the impact of renewable energy on power swing characteristics: A review

Power Quality: Scientific Collaboration Networks and Research Trends

Distance protection using a time-frequency filtering technique

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