Automated Inventory Tracking and Alert System
Volume-6 | Issue-4

Automated Water Level Monitoring System using Arduino and GSM Module
Volume-5 | Issue-1

Smart Waste Segregation System using Convolutional Neural Networks
Volume-4 | Issue-2

Autonomous Vehicle: Challenges and Implementation
Volume-4 | Issue-2

Dehydration of Food Materials using Solar Dryer with Mobile App Integration
Volume-6 | Issue-1

Agro Guard Edge AI - Development of Sustainable IoT Framework for Wildlife Intrusion Detection
Volume-6 | Issue-4

Design and Implementation of Closed loop control for Flyback Converter
Volume-5 | Issue-2

Identification of Single Phase to Ground Faults in Power Distribution Systems with RG Technique
Volume-4 | Issue-1

Development and Evaluation of Control System in Mechatronics – A Systematic Survey
Volume-4 | Issue-2

Load Flow Study of GCT Powerhouse using ETAP
Volume-5 | Issue-1

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-4 / Issue-1 / Article-2

Volume - 4 | Issue - 1 | march 2022

Identification of Single Phase to Ground Faults in Power Distribution Systems with RG Technique Open Access
Ranjithkumar  , Maruthupandi  546
Pages: 9-18
Full Article PDF pdf-white-icon
Cite this article
Ranjithkumar, and Maruthupandi. "Identification of Single Phase to Ground Faults in Power Distribution Systems with RG Technique." Journal of Electrical Engineering and Automation 4, no. 1 (2022): 9-18
DOI
10.36548/jeea.2022.1.002
Published
26 April, 2022
Abstract

Fault in a power system is an irregular condition that interrupts the stability of the system and causes a high fault current to flow through the power systems and its devices. Single phase to ground fault is an unsymmetrical fault that takes place between any phase of the system and ground. It is the most frequently occurring fault (70%-80%) that happens in the power system. Resonant Grounding (RG) is the proposed approach that reduces a fault current of a single phase to ground fault to a minimum level that is often independent of fault impedance. In this case, the single phase to ground fault current is too small and the typical overcurrent relay does not respond in this circumstance. As a result, a new and improved approach for detecting single phase to ground fault failures in arc suppression coil grounding distribution system with very low fault currents, though the fault impedance is low, is required. The faults are initially detected based on the neutral voltage displacement by a regionalized fault detection technique. The statement is validated by simulating a single phase to ground fault on an IEEE thirteen node test system and the results are presented. Since it employs local voltage and current information to detect power system fault condition, the suggested technique does not require communication between circuit breaker, relays, transformer, transmission lines etc. This approach can be used to a variety of different forms of unsymmetrical faults.

Keywords

Fault detection fault classification unsymmetrical faults single phase to ground fault regionalized fault detection technique generating station resonant grounding

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here