Detection of Power Swing and Fault During Power Swing Using Lissajous Figure

Patel, Bikash; Bera, Parthasarathi

doi:10.1109/tpwrd.2018.2850958

Cited by 49 publications

(12 citation statements)

References 29 publications

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“…Zone-3 of distance relay backing up the adjacent power line covers a large operating region in impedance plane and is more vulnerable during power swing. Different methods are now being used to block the unintentional distance relay operation during power swing [12], [13]. Proper unblocking techniques are also used to ensure its correct operation for fault during swing.…”

Section: B Literature Reviewmentioning

confidence: 99%

Accurate Superimposed Component Estimation for Improved Relay Performance During Power Swing

Paladhi

Pradhan

Rao³

2022

IEEE Systems Journal

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There is continuous variation in amplitude, phase, and frequency of voltage and current signals during power swing in a power system. Such variation makes the memorized pre-fault data less accurate to be used as non-fault component while computing superimposed quantity for protection decisions during power swing. In this paper, the voltage and current signal characteristics during power swing are analyzed and a technique is proposed to obtain correct non-fault components for superimposed quantity computation. The accuracy of the method in estimating the non-fault components is observed for different power swing conditions simulated in a 39-bus New England system and field data. The relay performance improvement as observed is also provided while applying the method to directional relaying, fault type classification, and fault location applications for faults during power swing. Comparative assessment reveals the superiority of the proposed method in improving the accuracy of the superimposed components computed during power swing.

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Section: B Literature Reviewmentioning

confidence: 99%

Accurate Superimposed Component Estimation for Improved Relay Performance During Power Swing

Paladhi

Pradhan

Rao³

2022

IEEE Systems Journal

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“…A comparative assessment has been concisely given in Table 10 with respect to different fault parameters and operating scenarios. It can be seen from this table that the schemes reported in the literatures 17,19,20,33 only detect the fault during PS and do not classify the fault type except Dubey et al 20 which classify the fault into two categories only, ie, symmetrical or unsymmetrical faults. While the proposed MODWT-based scheme not only detects the fault during PS but also classifies all the 10 types of the fault.…”

Section: Comparative Assessmentmentioning

confidence: 99%

A real‐time fault detection and classification algorithm for transmission line faults based on MODWT during power swing

Ashok

Yadav

2019

Int Trans Electr Energ Syst

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Summary An exploration of the faulty signal of three‐phase overhead transmission lines can provide versatile information about the presence of fault during power swing (PS) and its type in a specific time domain to accustom protective relaying scheme for real‐time application. In this paper, an illustrative feature extraction technique, maximal overlap discrete wavelet transform (MODWT), has been used to extract the attributes from the faulty signals during PS condition. The standard deviated values of the MODWT coefficients of the current signals only have been used as input features for fault detection and classification in an Indian power transmission network. The proposed scheme is based on a fault triangle with different fault planes. The performance of the proposed scheme has been assessed with real‐time field fault data using “Wavewin” software environment and further appraised with other existing schemes too. Moreover, the proposed scheme is not affected by zero sequence mutual impedance between the two inductively coupled parallel circuits and independent of communication latency affect because it employs one terminal data only.

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“…The methods based on the cumulative sum of the negative-sequence current, 13 the rate of change of zero-sequence current and magnitudes of voltage and current in each phase and relative phase angle between them, 23 the superimposed component of apparent power, 24 the morphology gradient-based technique, 25 the tangents perpendicular to the axis of current signal on the Lissajous figure, 26 and the cumulative sum of the covariance indices of the current system 27 are reported for detection of faults in series compensated transmission lines during power swing. A data-mining approach is proposed in Dubey et al 28 to detect faults in both compensated and uncompensated lines during power swing.…”

Section: Introductionmentioning

confidence: 99%

An unblocking assistance to distance relays protecting TCSC compensated transmission lines during power swing

Biswas

Nayak

2019

Int Trans Electr Energ Syst

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Summary Modern digital distance relays are incorporated with power swing blocking functions to avoid false operation during power swing. At the same time, it is also crucial to detect a fault correctly and quickly if occurs during power swing for unblocking and allowing the relay to trip the line. Detection of faults in thyristor controlled series capacitor (TCSC) compensated transmission lines during power swing is very challenging due to the nonlinear functioning of the thyristor controlled reactor and the metal‐oxide varistor protecting the series capacitor. This paper proposes a fault detection technique for TCSC compensated transmission lines during power swing using the generalized Teager‐Kaiser energy operator on the instantaneous current signal. The performance evaluation on a wide variety of test data generated on the modified WSCC three‐machine nine‐bus system and the modified IEEE 39‐bus New England system through EMTDC/PSCAD justify the efficacy of the proposed method.

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Detection of Power Swing and Fault During Power Swing Using Lissajous Figure

Cited by 49 publications

References 29 publications

Accurate Superimposed Component Estimation for Improved Relay Performance During Power Swing

Accurate Superimposed Component Estimation for Improved Relay Performance During Power Swing

A real‐time fault detection and classification algorithm for transmission line faults based on MODWT during power swing

An unblocking assistance to distance relays protecting TCSC compensated transmission lines during power swing

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