Phasor Measurement Based Fault Detection and Blocking/De-Blocking of Distance Relay Under Power Swing

Hari, V S; Kumar, Deepa S.; Savier, J S

doi:10.1109/cetic4.2018.8531024

Cited by 6 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome this limitation, an alternative technique, called the swing-centre voltage (SCV)-based technique, has been proposed. However, certain drawbacks of this technique have been identified, including delayed detection and the challenge of selecting an appropriate threshold [3]. These observations highlight the need for further advancements in developing more robust and reliable methods to ensure accurate fault detection and prevent unintended relay maloperation in various fault scenarios, including both power swings and symmetrical faults.…”

Section: Introductionmentioning

confidence: 99%

“…With increased commercial activities and industrialisation in Kerala state, the power requirement is expected to increase significantly and the topology of the power system is changing with the penetration of Distributed Energy Resources (DERs) [3]. 400 kV grid network and a few 220 kV inter-state lines form the backbone of Kerala state transmission interconnections.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…In [21], a scheme based on the differential of the active power is presented. The method proposed in [22] uses differential power coefficient with the instantaneous voltage and the current factors that are obtained by the phasor measurement units (PMUs). The efficiency of that approach is not evaluated for different locations and resistances of the fault.…”

Section: Introductionmentioning

confidence: 99%

A novel fast power swing blocking strategy for distance relay based on ADALINE and moving window averaging technique

Jannati

Mohammadi

2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

This study proposes a a novel efficient strategy for identifying symmetrical faults from power swings in order to improve the performance of distance relay. This method is based on two new indices and the use of adaptive linear neuron and moving window averaging technique, which is applied to the waveforms of the current. If the proposed algorithm detects power swings, it enables power swing blocking; and if it recognises the occurrence as a symmetrical fault, it resets the power swing blocking as quickly as possible. The efficiency of the proposed method has been tested in different conditions and compared to other methods from different points of view. Simulation results under different conditions in PSCAD and MATLAB software show that the proposed strategy is able to detect symmetrical faults from power swings with high accuracy. The high robustness of adaptive linear neuron and the moving window averaging technique has made the proposed method highly noise-resistant; and also, because of its low computational cost, the response speed of the proposed strategy is very high, and hence its practical implementation is simple.

show abstract

“…The simplification done in evaluating the magnitudes of each frequency was compensated by the accuracy and time required for transforming from time domain to frequency domain. The other innovative methodologies involve, Taylor series expansion using error estimation [12]; usage of negative sequence components in evaluating negative sequence apparent power [13]; evaluation of a power swing and fault using index by using voltage angle and active power flows [14]; Lissajous figures obtained from voltages and currents signals [15]; differences observed in the phase angles of currents [16]; and usage of differential power coefficients which estimates the difference in predicted and actual power flows leading to identification of fault [17].…”

Section: Introductionmentioning

confidence: 99%

Discriminating Faults from Power Swing Using Impedance Angle and Analysis in Three Dimensional Space

Zeno¹,

Orillaza²

2019

IJCEE

View full text Add to dashboard Cite

Faults lead to de-energising of a section of transmission line thus decreasing the reliability of the system. Power swing affects the distance relays leading to false alarms which were the leading cause of unreliability. Faults cause permanent movement of the operating point in RX plot with a transient oscillation. The locus of power swing forms closed loops. Here, impedance angles were used to discriminate the faults from power swing. The investigation was carried out along with three dimensional plots to visualize the locus of impedance in resistance, reactance and time axis. Results signify that faults were differentiated from power swing using differential impedance angle. The test cases include all the unbalanced faults as well as an unstable swing. Power swing formed bi-conical loops above and below the ideal operating impedance, while differential impedance formed hyperboloid with the mean impedance being zero. Simulations were carried out in a 2 bus system and all the voltages and currents were extracted from the center of transmission line. Visual representation of normal operating impedances and power swing using three dimensional plots (R-X-t space) and (dR/dt-dX/dt-t space) were shown in the Appendix.

show abstract

Phasor Measurement Based Fault Detection and Blocking/De-Blocking of Distance Relay Under Power Swing

Cited by 6 publications

References 7 publications

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

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

A novel fast power swing blocking strategy for distance relay based on ADALINE and moving window averaging technique

Discriminating Faults from Power Swing Using Impedance Angle and Analysis in Three Dimensional Space

Contact Info

Product

Resources

About