Transmission Lines Fault Detection using Empirical Mode Decomposition in a Grid-Connected Power System

Mampilly, Binitha Joseph; Sheeba, V. S.

doi:10.1109/perea51218.2020.9339814

Cited by 4 publications

(11 citation statements)

References 14 publications

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“…•Empirical Mode Decomposition (EMD), The EMD is chosen when it is used to interpret natural signals. The EMD divides the signal to the IWF collection without simple functions [23].…”

Section: Including Of Contribution Proposed Methodsmentioning

confidence: 99%

“…An individual's being doesn't control a few deformities to catastrophic events. Various sorts of disappointment signals are the column line shortcoming signals (stage), line ground flaws (stage base), line dropouts (3 stages), and line ground issues (3 stages), which are totally various strategies for identifying deficiencies that are utilized consistently [23]. A variety of wavelet packet replenishment forms (WPT), phasor measuring unit (PMU), REWORK Fourier-Fourier-Refreatieve (ETF), call trees (DTS), neural network statistics (DTS) Ann), Support vector machines (SVM), WT (wavelet Transformation) of Ann's logic and mathematics.…”

Section: Introductionmentioning

confidence: 99%

“…ANN utilizes the back-proliferation subject. It is utilized in the trademark amount conspire [23]. This TL fault analysis includes the energy drop and the coefficients, the majority, and the minimum price of the fault currents.…”

Section: Introductionmentioning

confidence: 99%

“…The imaging strategy ought to involve procedure for recognizing voltage and current signs in recurrence and time ranges. WT defeats the impediment of Fourier work, as the foot is utilized uniquely for the recurrence range [23]. And high frequency, the filters cannot disassemble the signals to accumulate the coefficients.…”

Section: Introductionmentioning

confidence: 99%

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Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Al-Zubaydi

2022

EAI Endorsed Trans Energy Web

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Many novel technologies of property energy and cell, solar power, batteries, and high-efficient combustion are widely investigated to conserve energy and reduce emissions. Transmission lines (TLs) play a serious role in transmitting generated electricity to different distribution units in facility engineering. The transmission lines function as a link between shoppers and a Power Station. Faults usually occur within the transmission when positioned in an open field. Quick identification and sick line faults square measures required for the conventional operation of the plant. A way like distinct moving ridge rework (DWT) and (EMD) is used to locate and identify faults to resolve this disruption. DWT is used to break down fault transients, as a result of which the info can be collected at the same time in each time and frequency domain. EMD decomposes the TLs voltage into Intrinsic Mode operation (IMFs). Four varieties of fault signals are square measurements produced by the grid-connected facility. Line faults square measure induced MATLAB/Simulink mistreatment.

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“…•Empirical Mode Decomposition (EMD), The EMD is chosen when it is used to interpret natural signals. The EMD divides the signal to the IWF collection without simple functions [23].…”

Section: Including Of Contribution Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Al-Zubaydi

2022

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

show abstract

“…When applied to high and medium voltage networks, these approaches have shown great promise and efficiency in fault detection [10]. To keep the electricity system running smoothly, transmission line defects must be detected and repaired quickly [13].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Fault Detection Techniques for Transmission Lines: A Literature Review

Daang,

Omas-as,

Arboleda

2024

Preprint

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This literature review delves into the realm of fault detection techniques for transmission lines, aiming to provide a comprehensive overview of recent advancements and key trends in the field. Employing a structured approach, the review synthesizes a plethora of research spanning from 2019 to 2024, sourced from diverse databases including IEEE Xplore, ScienceDirect, ResearchGate, Scopus, Litmaps, and Google Scholar. The methodology encompasses a systematic literature search protocol, stringent inclusion and exclusion criteria, meticulous data extraction, and a multi-dimensional analysis framework. The literature review uncovers a spectrum of fault detection methodologies, ranging from traditional signal processing techniques like Discrete Wavelet Transform and phase angle-based methods to cutting-edge deep learning algorithms such as Capsule Networks and Convolutional Neural Networks. Insights gleaned from the review underscore the critical importance of fault detection in maintaining the reliability, safety, and efficiency of power grids, highlighting its role as a frontline defense against widespread outages and equipment damage. Key findings from the review shed light on the efficacy of different fault detection approaches, showcasing their strengths and limitations across diverse system conditions. Furthermore, the review identifies common trends and challenges, including the need for real-world validation, scalability, adaptability to various network configurations, and cybersecurity considerations. This literature provides valuable insights and recommendations for future research endeavors in fault detection for transmission lines. By embracing advancements in both traditional and emerging techniques, researchers can continue to enhance the resilience and dependability of power transmission systems, ensuring their ability to withstand evolving challenges and safeguard critical infrastructure.

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Early Fault Detection in Distribution Networks Based on Wavelet Packets and Anomaly Transformer

Guo,

Yang,

Kou

et al. 2024

2024 36th Chinese Control and Decision Conference (CCDC)

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Transmission Lines Fault Detection using Empirical Mode Decomposition in a Grid-Connected Power System

Cited by 4 publications

References 14 publications

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Advancements in Fault Detection Techniques for Transmission Lines: A Literature Review

Early Fault Detection in Distribution Networks Based on Wavelet Packets and Anomaly Transformer

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