Classification of Power Swing using Wavelet and Convolution Neural Network

Paul, Debdyuti; Mohanty, Subodh Kumar; Panigrahi, Chinmoy Kumar

doi:10.1109/i2ct45611.2019.9033724

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…The DWT provides each frequency in octave scale and two spatial-temporal arrangements in the analyzed signal to solve and treat more advanced problems. However, the disadvantage is that it depends on the total energy of the moving wavelet signals on several scales in signal shifting downwards [25]. This technique employs two sets of functions, called scaling function ∅ and wavelet function 𝜑.…”

Section: C) Dwtmentioning

confidence: 99%

“…The recorded signals were filtered in a series of two type types of digital filtering techniques: the high pass filter and the low pass filter. Thus, the signal is decomposed into component approximation (A) and detail (D) coefficients [25]. The decomposition process can be iterated, called the wavelet decomposition tree, as shown in Figure 3.…”

Section: C) Dwtmentioning

confidence: 99%

“…The CWT is also an excellent tool for determining whether or not a symptom is stationary in the global sense. In a non-stationary signal, CWT is utilized to identify stationary data signals [25]. The wavelet generally is a complex value function that is accurate for only one or a few cycles of the oscillating waveform.…”

Section: C) Dwtmentioning

confidence: 99%

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Differential equation fault location algorithm with harmonic effects in power system

et al. 2023

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About 80% of faults in the power system distribution are earth faults. Studies to find effective methods to identify and locate faults in distribution networks are still relevant, in addition to the presence of harmonic signals that distort waves and create deviations in the power system that can cause many problems to the protection relay. This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. The developed algorithm considers the presence of harmonics components in the simulation network. In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. Several fault scenarios have been implemented during the simulation, such as fault resistance, fault distance, and fault inception angle. The final results show that the proposed algorithm can estimate the fault distance successfully with an acceptable fault location error. Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.

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Section: C) Dwtmentioning

confidence: 99%

Section: C) Dwtmentioning

confidence: 99%

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Differential equation fault location algorithm with harmonic effects in power system

et al. 2023

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An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves

et al. 2022

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Faults in the power system affect the reliability, safety, and stability. Power-distribution systems are familiar with the different faults that can damage the overall performance of the entire system, from which they need to be effectively cleared. Underground power systems are more complex and require extra accuracy in fault detection and location for optimum fault management. Slow processing and the unavailability of a protection zone for relay coordination are concerns in fault detection and location, as these reduce the performance of power-protection systems. In this regard, this article proposes an optimized solution for a fault detection and location framework for underground cables based on a discrete wavelet transform (DWT). The proposed model supports area detection, the identification of faulty sections, and fault location. To overcome the abovementioned facts, we optimize the relay coordination for the overcurrent and timing relays. The proposed protection zone has two sequential stages for the current and time at which it optimizes the current and time settings of the connected relays through Newton–Raphson analysis (NRA). Moreover, the traveling times for the DWT are modeled, which relate to the protection zone provided by the relay coordination, and the faulty line that is identified as the relay protection is not overlapped. The model was tested for 132 kV/11 kV and 16-node networks for underground cables, and the obtained results show that the proposed model can detect and locate the cable’s faults speedily, as it detects the fault in 0.01 s, and at the accurate location. MATLAB/Simulink (DigSILENT Toolbox) is used to establish the underground network for fault location and detection.

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Classification of Power Swing using Wavelet and Convolution Neural Network

Cited by 2 publications

References 18 publications

Differential equation fault location algorithm with harmonic effects in power system

Differential equation fault location algorithm with harmonic effects in power system

An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves

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