Anfis approach for locating faults using gps coordinates in a distribution system

Ghani, Rasli Abd; Yahya, Hamdya Sabrina Mohidin; Aqilah, Naja

doi:10.1049/cp.2018.1597

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Adaptive Neuro-fuzzy Inference System Algorithm (Anfis)1

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2020

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“…Tradition method for achieving the membership functions uses a trial and error. Fuzzy logic and neural networks have the ability for estimating and processing the data [21].…”

Section: Adaptive Neuro-fuzzy Inference System Algorithm (Anfis)mentioning

confidence: 99%

Fault detection and location of power transmission lines using intelligent distance relay

Kazzaz¹,

Ismaeel²,

Mohammed³

2020

IJPEDS

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The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). The proposed relay is used to protect the power transmission lines where they are subjected to faults continuously. These faults may produce a high electric current which leads to high damage in power system equipment. The relay is used to detect the transmission line faults by measuring the voltage and current values for each phase. The line impedance is then calculated to detect the faults and issue instantaneous trip signal to circuit breaker, to separate the fault zone of the transmission line without affecting the work of other relays. To isolate the faulty line without affecting the other lines within the network the relays were trained using adaptive neuro-fuzzy inference system (ANFIS). The obtained results through this work show that the designated distance relay with (ANFIS) algorithm has the ability to detect the faults occurrence, recognize it from the cases of the disturbance and to isolate only the fault zone without affecting the work of other relays in system.

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“…Tradition method for achieving the membership functions uses a trial and error. Fuzzy logic and neural networks have the ability for estimating and processing the data [21].…”

Section: Adaptive Neuro-fuzzy Inference System Algorithm (Anfis)mentioning

confidence: 99%