Journal ArticleDOI
Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network
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TLDR
The lesser computational complexity, faster learning speed, superior fault location estimation accuracy, and short event detection time prove that the proposed POVMD–WPRVFLN method can be implemented in the real power system for online fault recognition.About:
This article is published in Applied Soft Computing.The article was published on 2019-12-01. It has received 21 citations till now. The article focuses on the topics: Fault detection and isolation & Fault (power engineering).read more
Citations
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Journal ArticleDOI
Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods
TL;DR: The importance of having a robust fault identification, classification and localization algorithm which would be successfully able to drive as well as actuate the digital relaying system is laid down.
Journal ArticleDOI
Fault location in series capacitor compensated three-terminal transmission lines based on the analysis of voltage and current phasor equations and asynchronous data transfer
Alireza Saffarian,Mahyar Abasi +1 more
TL;DR: A new algorithm for fault location in series capacitor compensated three-terminal transmission lines using the distributed line model is proposed, which works perfectly against the errors caused by measurements and parameters.
Journal ArticleDOI
Optimal instantaneous prediction of voltage instability due to transient faults in power networks taking into account the dynamic effect of generators
Mohsen Khalili,Mohammad Ali Dashtaki,Morteza Azimi Nasab,Hamid Reza Hanif,Sanjeevikumar Padmanaban,Baseem Khan +5 more
TL;DR: In this article , an index based on the changes of two indices of frequency deviation and frequency response of inertia is presented, which has the ability to detect the occurrence of instability and at the same time high speed timely estimation of voltage instability in the power system.
A Comprehensive Review of Various Fault Location Methods for Transmission Lines Compensated by FACTS devices and Series Capacitors
TL;DR: The fault location problem in electrical power transmission lines equipped with reactive power compensators, including FACTS and SC devices, is comprehensively discussed and analyzed in this paper.
Journal ArticleDOI
A linearized MOV model-based method for fault location on off-terminal series capacitor bank-compensated transmission line using one-end current
TL;DR: An analytical fault distance estimation algorithm is derived for both single and parallel transmission lines using the sequence-networks modeling of the system and is found to be accurate enough in locating a big number of faults under a variety of conditions.
References
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Journal ArticleDOI
Extreme learning machine: Theory and applications
TL;DR: A new learning algorithm called ELM is proposed for feedforward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs which tends to provide good generalization performance at extremely fast learning speed.
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Extreme Learning Machine for Regression and Multiclass Classification
TL;DR: ELM provides a unified learning platform with a widespread type of feature mappings and can be applied in regression and multiclass classification applications directly and in theory, ELM can approximate any target continuous function and classify any disjoint regions.
Book
Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems
TL;DR: The Flexible AC Transmission System (FACTS)—a new technology based on power electronics—offers an opportunity to enhance controllability, stability, and power transfer capability of ac transmission systems.
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Variational Mode Decomposition
TL;DR: This work proposes an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently and is a generalization of the classic Wiener filter into multiple, adaptive bands.
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Generalized Inverse of Matrices and Its Applications
TL;DR: In this article, the generalized inverse of matrices and its applications are discussed and discussed in terms of generalized inverse of matrix and its application in the context of generalization of matrix matrices.