Wide area monitoring for energy system: a review

Rao, A. Nageswara; Priya, P. Vijaya; Kowsalya, M.; Gnanadass, R.

doi:10.1080/01430750.2017.1399458

Cited by 4 publications

(1 citation statement)

References 45 publications

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“…Empirical Mode Decomposition (EMD) enables WINNOW processes to convert non-linear and non-stationary signals into basic elements and star elements. It breaks down the signal to its Intrinsic Mode Functions (IMFs) [7][14] [35][36][37][38][39] portion.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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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Power Grids as Complex Networks: Resilience and Reliability Analysis

Amani

Jalili

2021

IEEE Access

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Power grids are cyber-physical systems and can be modelled as network systems where individual units (generators, busbars and loads) are interconnected through physical and cyber links. Network components (nodes/edges) may undergo intentional and/or random failures. In catastrophic cases, a failure initiating from a small set of these components can quickly propagate through the whole network, leading to a cascade of failures that might force a deep whole-grid blackout. Often network components have different vitality and protecting some is more critical than others. This manuscript aims to provide a focused overview of modelling power grids as complex networks and their resilience and reliability analysis. We also perform a critical review of vitality metrics and their precision in power grid resilience analysis. The review is accompanied by some simulations on benchmark and real power grids to show the applicability of these concepts in studying resilience.

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