scholarly journals A smart algorithm for fault detection and location in electric power distribution system

2021 ◽  
Vol 12 (4) ◽  
pp. 2123
Author(s):  
Hamid Touijer ◽  
Mohammed El Alami ◽  
Mustapha Zahri ◽  
Mohamed Habibi
Keyword(s):  
Electric Power ◽  
Power Supply ◽  
Power Distribution ◽  
Distribution System ◽  
Fault Location ◽  
System Stability ◽  
Test Results ◽  
Power Distribution System ◽  
Electric Power Distribution ◽  
Using Data

In an electric power distribution system (EPDS), fault location accuracy is critical for system stability. In the past, several algorithms have shown that they are inefficient. However, the results of these algorithms have been shown to be inefficient, and they should not be used for every sort of the faults. This paper presents a new algorithm capable to determine the location of fault accurately with low error rate. It is based on the voltage and current calculation at the source station for different types of faults by using either one power supply or double power supply. The work includes the formulation analytical development as simulation test results. The test results are produced by numerical simulation using data from a recognized distribution line in the literature.

scholarly journals FCM and Statistical Based Approach for Classification and Location of Faults in Electrical Distribution System

2011 ◽  
pp. 64-68
Author(s):  
Pratul Arvind ◽  
Rudra prakash Maheswari
Keyword(s):  
Expectation Maximization ◽  
Power Distribution ◽  
Distribution System ◽  
Fault Location ◽  
Electrical Power ◽  
Electrical Power System ◽  
Power Distribution System ◽  
Electric Power Distribution ◽  
Node Distribution ◽  
System Restoration

Electric Power Distribution System is a complex network of electrical power system. Also, large number of lines on a distribution system experiences regular faults which lead to high value of current. Speedy and precise fault location plays a pivotal role in accelerating system restoration which is a need of modern day. Unlike transmission system which involves a simple connection, distribution system has a very complicated structure thereby making it a herculean task to design the network for computational analysis. In this paper, the authors have simulated IEEE 13- node distribution system using PSCAD which is an unbalanced system and current samples are generated at the substation end. A Fuzzy c-mean (FCM) and statistical based approach has been used. Samples are transformed as clusters by use of FCM and fed to Expectation- Maximization (EM) algorithm for classifying and locating faults in an unbalanced distribution system. Further, it is to be kept in mind that the combination has not been used for the above purpose as per the literature available till date.

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