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Proceedings ArticleDOI

A new method for overcurrent relay (O/C) using neural network and fuzzy logic

TLDR
A new method for calculating the TDS and t (operating time of O/C relays) based on a neural network and fuzzy logic is used and the calculation speed as well as the accuracy is increased.
Abstract
For coordination of O/C relays, it is necessary to model the relay characteristics and calculate the time dial setting (TDS) of the relays. The O/C relays' characteristics are normally modeled by a polynomial using a curve fitting technique. A new method for calculating the TDS and t (operating time of O/C relays) based on a neural network and fuzzy logic is used. In this method, fuzzy logic uses the same information as the neural network. Also the variation of t with the TDS is not assumed linear, therefore t is calculated with a high accuracy. In addition, in the method used for determination of the TDS, we do not need to use numerical analysis and mathematical equations, so the calculation speed as well as the accuracy is increased.

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Citations
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Journal ArticleDOI

Optimal coordination of over-current relays using modified differential evolution algorithms

TL;DR: Five newly developed versions of differential evolution (DE) called modified DE versions are applied and the results are compared with the classical DE algorithm and with five more algorithms available in the literature; the numerical results show that the modified DE algorithms outperforms or perform at par with the other algorithms.
Journal ArticleDOI

Optimal Overcurrent Relay Coordination: A Review

TL;DR: An overview on optimal overcurrent relay coordination in protection system and protective relays includes techniques, such as Artificial Intelligence and Nature Inspire Algorithm as well as other conventional methods used for overcurrent protection.
Journal ArticleDOI

An Optimized Protection Coordination Scheme for the Optimal Coordination of Overcurrent Relays Using a Nature-Inspired Root Tree Algorithm

TL;DR: The root tree algorithm (RTO), inspired by the random movement of roots, is used to search for the global optimum, in order to best solve the problem of overcurrent relays (OCRs), a complex and highly linear constrained optimization problem.
Journal ArticleDOI

A combined adaptive network and fuzzy inference system (ANFIS) approach for overcurrent relay system

TL;DR: In this paper, a new method for modelling OC relay characteristics curves based on a combined adaptive network and fuzzy inference system (ANFIS) is proposed and the results obtained are quite encouraging and will be useful as an effective tool for modellingOC relays.
Journal ArticleDOI

A flexible approach for overcurrent relay characteristics simulation

TL;DR: A new method for modelling OC relays curves based on fuzzy logic and artificial neural network is proposed, which is more accurate than traditional models.
References
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Journal ArticleDOI

Modeling overcurrent relay characteristics

TL;DR: An approach to computer modeling of the time-current characteristics of protective devices that relies on interactive manipulation and fitting of the curves, which are modeled mathematically as splines is presented.
Journal ArticleDOI

A simple method for obtaining feasible computational models for the time-current characteristics of industrial power-system protective devices

TL;DR: The unique problems encountered in developing a feasible mathematical model for the trip characteristics of the thermomechanical breaker are addressed, and extensions to other, more easily modeled, protective devices are discussed.
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