scholarly journals Comparative Analysis of Fuzzy Inference System (FIS) And Adaptive Neuro-Fuzzy Inference System (ANFIS) Methods in the Classification and Location of High Impedance Faults on Distribution System

2020 ◽  
Vol 5 (8) ◽  
pp. 966-969
Author(s):  
Nseobong I. Okpura ◽  
E. N. C. Okafor ◽  
Kufre M. Udofia
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Power Distribution System ◽  
High Impedance ◽  
Study Power ◽  
Distribution Line ◽  
High Impedance Faults

Unlike low impedance faults, which involve relatively large magnitude of fault currents and are easily detected by conventional over-current protection devices, high impedance faults pose a serious challenge to protection engineers because they can remain on the system without the protective relays being able to detect them. This paper presents an improved method for detection and location of high impedance fault using ANFIS model. The study was conducted on the 33 kV Uyo-Ikot Ekpene power distribution line. The case study power distribution system was modeled using MATLAB software. HIFs were introduced at various locations along the distribution line. The data obtained from the MATLAB/Simulink simulated fault using discrete wavelet transform (DWT) were used to train the ANFIS for the location of HIF points along the distribution system as well as for prediction of the distance of the fault location to the nearest injection substation. The results show that ANFIS model gives 52.5 percentage reduction in error compared with FIS in the location of fault points on the case study power distribution system.

An Artificial Intelligence Based Approach for High Impedance Faults Analysis in Distribution Networks

2012 ◽  
Vol 1 (2) ◽  
pp. 44-59 ◽  
Author(s):  
M. S. Abdel Aziz ◽  
M. A. Moustafa Hassan ◽  
E. A. El-Zahab
Keyword(s):  
Artificial Intelligence ◽  
Distribution System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Distribution Networks ◽  
Inference System ◽  
New Approach ◽  
High Impedance ◽  
Neuro Fuzzy ◽  
High Impedance Faults

This paper presents a new approach for high impedance faults analysis (detection, classification and location) in distribution networks using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a distribution system under various faults conditions and tested for different system conditions. Details of the design process and the results of performance using the proposed method are discussed. The results show the proposed technique effectiveness in detecting, classifying, and locating high impedance faults. The 3rd harmonics, magnitude and angle, for the 3 phase currents give superior results for fault detection as well as for fault location in High Impedance faults. The fundamental components magnitude and angle for the 3 phase currents give superior results for classification phase of High Impedance faults over other types of data inputs.

scholarly journals Application of Composite Method for Determining Fault Location on Electrical Power Distribution Lines

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Chinweike Okoli ◽  
Boniface Anyaka ◽  
Chidiogo Nwokedi ◽  
Victor Anya
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Current Data ◽  
Inference System ◽  
Composite Method ◽  
Distribution Lines ◽  
Distribution Line

Distribution line is one of the most important components of the distribution system. Troubleshooting faults on these lines are often a tedious task requiring service vehicles and personnel moving from one place to another in order to locate the fault and fix the problem. The study, therefore, is on how a composite fault location technique can be applied to predict the location of faults on the distribution lines. The calculations for the estimation of the fault location are performed using one terminal voltage and current data of the distribution line. A composite method that combines the impedance-based method and the fuzzy inference system method is used in the fault location algorithm. The presented algorithm has been extensively tested using the MATLAB-Simulink model of a 33 KV 40-kilometer distribution line. The simulation result demonstrates good accuracy and robustness of the algorithm.

Reliability Analysis of Power Distribution System: A Case Study of Mofor Injection Substation, Delta State, Nigeria

2019 ◽  
Author(s):  
Oladimeji Joseph Ayamolowo ◽  
Chukwunonso Anthony Mmonyi ◽  
Samson Olasunkanmi Adigun ◽  
Olabisi Abdullahi Onifade ◽  
Kehinde Adetunji Adeniji ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Power Distribution ◽  
Distribution System ◽  
Power Distribution System ◽  
System A

scholarly journals Line-End Voltage and Voltage Profile along Power Distribution Line with Large-Power Photovoltaic Generation System

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Toshiro Matsumura ◽  
Masumi Tsukamoto ◽  
Akihiro Tsusaka ◽  
Kazuto Yukita ◽  
Yasuyuki Goto ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Reverse Current ◽  
Generation System ◽  
Pv System ◽  
Photovoltaic Generation ◽  
Voltage Rise ◽  
Power Distribution System ◽  
Line Current ◽  
Distribution Line

In recent years, the introduction of the photovoltaic generation system (PV system) has been increasing by promoting the use of renewable energy. It has been feared that the reverse current from the PV system may cause an unacceptable level of voltage rise at the interconnection node in the power distribution system. This paper discusses the effects of the reverse current on the voltage rise and fall characteristics of the interconnection node and the voltage profiles along the power distribution line. When the line current on the circuit is small, the voltage on the line monotonically increases from the sending end to the receiving end. When a relatively large current flows, it causes a voltage reduction near the distribution substation. Furthermore, on the basis of the voltage aspects in the power distribution system with a large PV system, the allowable limits of the line current and the output power from PV system are investigated.

Using Positive and Negative Sequence Components of Currents and Voltages for High Impedance Fault Analysis via ANFIS

2012 ◽  
Vol 1 (4) ◽  
pp. 132-157 ◽  
Author(s):  
Mohamed M. Ismail ◽  
M. A. Moustafa Hassan
Keyword(s):  
Distribution System ◽  
Electrical Contact ◽  
Design Procedure ◽  
Fault Analysis ◽  
Foreign Object ◽  
Inference System ◽  
Negative Sequence ◽  
High Impedance ◽  
Sequence Components ◽  
High Impedance Faults

High Impedance Faults are defined as unwanted electrical contact between an energized conductor and a non-conducting foreign object. Non-conducting foreign object present high impedances to current flow due to their material, so a fault of this type will not appear to the classical protection equipment as abnormal conditions. Presented is an approach for detection, classification, and location of high impedance faults in a distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS) based on positive and negative sequence components of voltages and currents. The proposed scheme was trained by data from simulation of a distribution system under different faults conditions and different distances in a short and long transmission lines. Details of the design procedure and the results of performance using the proposed method are discussed in this paper.

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