Adaptive Kalman filter and neural network based high impedance fault detection in power distribution networks

2009 ◽  
Vol 31 (4) ◽  
pp. 167-172 ◽  
Author(s):  
S.R. Samantaray ◽  
P.K. Dash ◽  
S.K. Upadhyay
Keyword(s):  
Neural Network ◽  
Kalman Filter ◽  
Fault Detection ◽  
Power Distribution ◽  
Distribution Networks ◽  
Adaptive Kalman Filter ◽  
Power Distribution Networks ◽  
High Impedance ◽  
High Impedance Fault

High-impedance fault modeling and classification in power distribution networks

2021 ◽  
pp. 107676
Author(s):  
José Genilson Sousa Carvalho ◽  
Aryfrance Rocha Almeida ◽  
Danton Diego Ferreira ◽  
Bartolomeu Ferreira dos Santos ◽  
Luis Henrique Pereira Vasconcelos ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution Networks ◽  
Fault Modeling ◽  
Power Distribution Networks ◽  
High Impedance ◽  
High Impedance Fault

scholarly journals High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2331 ◽  
Author(s):  
Saeid Khavari ◽  
Rahman Dashti ◽  
Hamid Reza Shaker ◽  
Athila Santos
Keyword(s):  
Fault Detection ◽  
Power Distribution ◽  
Fault Location ◽  
Distribution Networks ◽  
Discrete Wavelet ◽  
Underground Cables ◽  
Overhead Lines ◽  
High Impedance ◽  
Data Loggers ◽  
High Impedance Fault

Power distribution networks are vulnerable to different faults, which compromise the grid performance and need to be managed effectively. Automatic and accurate fault detection and location are key components of effective fault management. This paper proposes a new framework for fault detection and location for smart distribution networks that are equipped with data loggers. The framework supports networks with mixed overhead lines and underground cables. The proposed framework consists of area detection, faulty section identification, and high impedance fault location. Firstly, the faulty zone and section are detected based on the operation of over-current relays and digital fault recorders. Then, by comparing the recorded traveling times at both ends of lines, which are related to the protection zone, the faulty line is identified. In the last step, the location of the fault is estimated based on discrete wavelet transform. The proposed method is tested on a 20 kV 13 node network, which is composed of overhead lines and underground cables. The method is tested in both balanced and unbalanced configurations. The obtained results confirm the advantages of the proposed method compared with the current state-of-the art.

scholarly journals High-Impedance Fault Diagnosis: A Review

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6447
Author(s):  
Abdulaziz Aljohani ◽  
Ibrahim Habiballah
Keyword(s):  
Fault Diagnosis ◽  
Power Distribution ◽  
Distribution Networks ◽  
Fault Current ◽  
Power Distribution Networks ◽  
High Impedance ◽  
Look Ahead ◽  
High Impedance Fault ◽  
Overcurrent Relays ◽  
High Impedance Faults

High-impedance faults (HIFs) represent one of the biggest challenges in power distribution networks. An HIF occurs when an electrical conductor unintentionally comes into contact with a highly resistive medium, resulting in a fault current lower than 75 amperes in medium-voltage circuits. Under such condition, the fault current is relatively close in value to the normal drawn ampere from the load, resulting in a condition of blindness towards HIFs by conventional overcurrent relays. This paper intends to review the literature related to the HIF phenomenon including models and characteristics. In this work, detection, classification, and location methodologies are reviewed. In addition, diagnosis techniques are categorized, evaluated, and compared with one another. Finally, disadvantages of current approaches and a look ahead to the future of fault diagnosis are discussed.

Sign in / Sign up

Export Citation Format

Share Document