Detection of three-phase fault during power swing using zero frequency filtering

Prabhu, M. Santhosh; Nayak, Paresh Kumar; Pradhan, Gayadhar

doi:10.1002/etep.2700

Cited by 17 publications

(2 citation statements)

References 26 publications

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“…The power swing arising due to the load variation may also affect the selectivity and sensitivity of distance relay. [28][29][30] To evaluate the performance of the proposed protection scheme in detecting and classifying a fault under varying loading condition, cases involving both variation in load (+40% to −40%) and fault have been simulated and efficacy of the proposed scheme evaluated for these cases. The test results depicted in Tables 4 and 5 confirm the accuracy and reliability of the proposed scheme under wide variation in linear and nonlinear loading conditions of the transmission line.…”

Section: Line Loading Variationmentioning

confidence: 99%

Enhancing the reliability of six‐phase transmission line protection using power quality informatics with real‐time validation

Shukla

Koley

Ghosh

et al. 2019

Int Trans Electr Energ Syst

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Summary The increased power demand has motivated the use of a six‐phase transmission line. The acceptance of six‐phase transmission depends on the development of a comprehensive protection scheme. The relatively higher complexity of a six‐phase system, arising from the large number of possible faults, makes the protection task challenging. The intrusion of harmonics resulting from nonlinear loads further adds to the complexity. This paper proposes a data mining‐based protection scheme using power quality informatics of voltage signals for a six‐phase transmission line with nonlinear loading. The scheme has been extensively tested for evaluating its reliability in terms of accuracy, dependability, and security indices. Considering the stochastic nature of fault incidence, efficacy of the proposed approach has also been validated by Monte Carlo simulations. Further, to authenticate the proposed scheme for practical scenarios, implementation and validation of the proposed scheme have been carried out for real‐time environment using an OPAL‐RT digital simulator.

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Section: Line Loading Variationmentioning

confidence: 99%

Enhancing the reliability of six‐phase transmission line protection using power quality informatics with real‐time validation

Shukla

Koley

Ghosh

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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“…The design ensures that they are calculated based on running arrangements, and as the network is reconfigured the protection settings are manually changed to operate reliably. Differentiating unsymmetrical faults from power swings during a power system operation is relatively straightforward due to the presence of negative and zero-sequence currents in unsymmetrical faults [4]. However, the challenge lies in distinguishing three-phase faults from power swings because both exhibit balanced characteristics.…”

Section: Introductionmentioning

confidence: 99%

Comparative assessment of fault detection methods in transmission line during power swing: analyzing single and hybrid networks for the southern Kerala grid

Ramesh,

Das

et al. 2024

Eng. Res. Express

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The blocking function of power oscillation is a highly eﬀective feature found in distance relays. Its purpose is to prevent unintentional tripping of transmission lines. It is crucial to accurately diﬀerentiate between faults and power oscillations in order to minimise the occurrence of widespread power outages and monetary losses. Therefore, the detection and classiﬁcation of faults arising from power swings are critical challenges in ensuring the smooth operation and overall health of transmission lines, particularly in extrahigh-voltage (EHV) and ultra-high-voltage (UHV) power systems. Modern methods rely on machine learning methods which are in their infancy. The paper proposes to identify various fault conditions in transmission lines during power swing by using a hybrid Neural Network architecture. In this research, diﬀerent designs such as 2-D convolution neural network (2D-CNN), 1-D convolution neural network (1D-CNN), long short-term memory (LSTM), and CNN-LSTM hybrid networks are investigated to understand the eﬀect of various deep learning approaches. Along with the southern Kerala Grid, the standard, 9-bus system is selected as a test case for examining various fault circumstances of the system during power swing. Multiple tests were conducted to determine the optimal deep learning architecture, including model parameters and conﬁgurations, for accurate fault detection.

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Third zone protection to discriminate symmetrical fault and stressed system conditions

Venkatanagaraju

Jose

Biswal

et al. 2019

Int Trans Electr Energ Syst

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Summary Disastrous effects resulting from power system security issues have been pointed out in various blackout reports. In these reports, setting of the third zone reach being large was found to be a major reason. In addition to a fault, the apparent impedance measured by the relay can also enter the third‐zone setting for different stressed events, such as load encroachment, power swing, and voltage instability, and thus be misinterpreted as a three‐phase fault, leading to relay maloperation. To improve the functionality of the relay under such dire situations, a local end information‐based technique is proposed. The scheme uses the Teager energy‐based approach for developing an index criterion. As per the proposed method, after the entry of the impedance into the relay zone‐3 characteristic, the index is checked. If both the impedance and the index cross their respective thresholds, the disturbance event will be detected as a fault. Otherwise, it will be a no‐fault condition and undesired relay operation avoided. Reliability of the proposed technique is tested for various power system events by simulation on the New England 39‐bus, 10 machine test system.

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Detection of three-phase fault during power swing using zero frequency filtering

Cited by 17 publications

References 26 publications

Enhancing the reliability of six‐phase transmission line protection using power quality informatics with real‐time validation

Enhancing the reliability of six‐phase transmission line protection using power quality informatics with real‐time validation

Comparative assessment of fault detection methods in transmission line during power swing: analyzing single and hybrid networks for the southern Kerala grid

Third zone protection to discriminate symmetrical fault and stressed system conditions

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