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Parameter-free fault location for transmission lines based on optimization
not affect its accuracy. The method utilises synchronous post-fault measurements of currents and voltages in both terminals and is based on the distributed time-domain representation of transmission lines. Unlike conventional methods, fault location...
Fault Location Algorithm for Three-Terminal Transmission Lines: Distributed Time Domain Line Model
in this
An Accurate Fault ocation Algorithm for Power Transmission Lines
In this paper we propose a new fault location algorithm for power transmission lines based on one terminal
voltage and current data. A distributed time domain model of the line is used as a basis for algorithm development...
Wide-Area Fault Location Method Considering Gross Measurement Error
In this paper, a wide-area fault location (FL) method for power transmission lines is
proposed. Impractical installation of modern measuring devices (e.g. PMU) throughout all network
buses, due to lack of telecommunication...
Accurate fault location algorithm for transmission lines in the presence of shunt-connected flexible AC transmission system devices
In this study a non-iterative fault location algorithm for shunt-compensated transmission lines is proposed. Since this method does not utilise the model of the shunt compensator, the errors resulted from modelling of the shunt compensators...
Optimum analog receive filters for detection and inference under a sampling rate constraint
Fault Indicator Allocation in Power Distribution Network for Improving Reliability and Fault Section Estimation
Fault indicator (FI) is used in impedance-based methods for improving fault section estimation in power distribution
feeders. The location and number of FIs affects on the reliability indices and can extra charge ...
A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units
Transmission line fault location using hybrid wavelet-Prony method and relief algorithm
Context: Intelligent fault locating in transmission lines consists of three main steps: feature extraction,
feature selection, and utilizing a learning tool.
Objective: The main objective of this paper is to propose a systematic...