Artificial Intelligence in Classifying High Impedance Faults in Electrical Power Distribution System

2019 ◽  
Author(s):  
Ramana Kumar Joga S ◽  
Pampa Sinha ◽  
Manoj Kumar Maharana
Keyword(s):  
Artificial Intelligence ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Power Distribution System ◽  
High Impedance ◽  
High Impedance Faults

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.

scholarly journals Non-isolated load sharing direct current system operation with use of the auctioneering diodes

2019 ◽  
Vol 28 ◽  
pp. 01037 ◽  
Author(s):  
Maciej Kozak
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Heat Dissipation ◽  
Current System ◽  
Electrical Power ◽  
Experimental System ◽  
Laboratory System ◽  
Simulation Studies ◽  
Power Distribution System ◽  
Electrical Systems

The paper presents the background and results of numerical simulation and experimental research of a system using auctioneering diodes used to distribute the electrical power between two power converters connected with intermediate circuits in parallel, direct connection. Presented non-isolated power distribution system which utilizes blocking diodes placed in DC branches are used in the selected ship's electrical systems, however, they create problems related to control and handling ground faults. Another issue occurring during the operation of this type of systems is increased heat dissipation while diodes switching. Selected problems related to the operation of experimental system have been identified by means of simulation studies and experiments carried out in a 11 kVA laboratory system and the theoretical basis along with results are provided in the article.

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.

Game-Based Control Approach for Smart Grid

2014 ◽  
pp. 429-446
Keyword(s):  
Game Theory ◽  
Smart Grid ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Power Distribution System ◽  
Control Approach ◽  
Smart Grid Communications ◽  
Electric Power Distribution ◽  
Network Communications

The concept of smart grid to transform the old power grid into a smart and intelligent electric power distribution system is, currently, a hot research topic. Smart grid offers the merging of electrical power engineering technologies with network communications. Game theory has featured as an interesting technique, adopted by many researchers, to establish effective smart grid communications. The use of game theory has offered solutions to various decision-making problems, ranging from distributed load management to micro storage management in smart grid. Interestingly, different researchers have different objectives or problem scopes for adopting game theory in smart grid. This chapter explores the game-based approach.

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