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

2020 ◽  
Vol 11 (2) ◽  
pp. 726
Author(s):  
Sa’ad Ahmed S. Al Kazzaz ◽  
Ibrahim Ismaeel ◽  
Karam Khairullah Mohammed
Keyword(s):  
Transmission Line ◽  
Fault Zone ◽  
Transmission Lines ◽  
Fuzzy Inference System ◽  
Power Transmission ◽  
Fuzzy Inference ◽  
Power Transmission Lines ◽  
Distance Relay ◽  
Inference System ◽  
Neuro Fuzzy

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.

scholarly journals Fault Diagnosis for Transmission Lines Systems Using ANFIS Techniques

2018 ◽  
Vol 1 (1) ◽  
pp. 17-20
Author(s):  
Azriyenni Azhari Zakri
Keyword(s):  
Fault Diagnosis ◽  
Transmission Line ◽  
Transmission Lines ◽  
Data Transmission ◽  
Power Transmission ◽  
Fuzzy Inference ◽  
Simulated Data ◽  
Power Delivery ◽  
Inference System ◽  
Neuro Fuzzy

This paper presents a fault diagnosis for long transmission lines using Adaptive Neuro-Fuzzy Inference System (ANFIS). The electric power transmission system is a link power generation and distribution. If a failure occurs as long the transmission line could be estimation caused of undesired fault power delivery to consumer come not go well. Therefore, it would need to provide an alternative solution to solve this problem. The objectives of this paper are classification and estimate of a fault into the transmission line by using application of ANFIS. The systems have been put forward and tested on simulated data transmission lines into different faults. The results test given to contribute to an alternate technique where it has good performance for fault diagnosis in the transmission lines.

scholarly journals Adaptive neuro-fuzzy inference system based evolving fault locator for double circuit transmission lines

2020 ◽  
Vol 9 (3) ◽  
pp. 448 ◽  
Author(s):  
A Naresh Kumar ◽  
P Sridhar ◽  
T Anil Kumar ◽  
T Ravi Babu ◽  
V Chandra Jagan Mohan
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Fuzzy Inference System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Cost Effective ◽  
Inference System ◽  
Protection Method ◽  
Neuro Fuzzy ◽  
Simulation Results

<p>Evolving faults are starting in one phase of circuit and spreading to other phases after some time. There has not been a suitable method for locating evolving faults in double circuit transmission line until now. In this paper, a novel method for locating different types of evolving faults occurring in double circuit transmission line is proposed by considering adaptive neuro-fuzzy inference system. The fundamental current and voltage magnitudes are specified as inputs to the proposed method. The simulation results using MATLAB verify the effectiveness and correctness of the protection method. Simulation results show the robustness of the method against different fault locations, resistances, time intervals, and all evolving fault types. Moreover, the proposed method yields satisfactory performance against percentage errors and fault location line parameters. The proposed method is easy to implement and cost-effective for new and existing double circuit transmission line installation</p>

Aplikasi Peramalan Kebutuhan Beban Listrik Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)

2017 ◽  
Vol 3 (1) ◽  
pp. 36-48
Author(s):  
Erwan Ahmad Ardiansyah ◽  
Rina Mardiati ◽  
Afaf Fadhil
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Neuro Fuzzy

Prakiraan atau peramalan beban listrik dibutuhkan dalam menentukan jumlah listrik yang dihasilkan. Ini menentukan  agar tidak terjadi beban berlebih yang menyebabkan pemborosan atau kekurangan beban listrik yang mengakibatkan krisis listrik di konsumen. Oleh karena itu di butuhkan prakiraan atau peramalan yang tepat untuk menghasilkan energi listrik. Teknologi softcomputing dapat digunakan  sebagai metode alternatif untuk prediksi beban litrik jangka pendek salah satunya dengan metode  Adaptive Neuro Fuzzy Inference System pada penelitian tugas akhir ini. Data yang di dapat untuk mendukung penelitian ini adalah data dari APD PLN JAWA BARAT yang berisikan laporan data beban puncak bulanan penyulang area gardu induk majalaya dari januari 2011 sampai desember 2014 sebagai data acuan dan data aktual januari-desember 2015. Data kemudian dilatih menggunakan metode ANFIS pada software MATLAB versi b2010. Dari data hasil pelatihan data ANFIS kemudian dilakukan perbandingan dengan data aktual dan data metode regresi meliputi perbandingan anfis-aktual, regresi-aktual dan perbandingan anfis-regresi-aktual. Dari perbandingan disimpulkan bahwa data metode anfis lebih mendekati data aktual dengan rata-rata 1,4%, menunjukan prediksi ANFIS dapat menjadi referensi untuk peramalan beban listrik dimasa depan.

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