Efficient detection and analysis of shunt faults in electric power distribution systems (EPDS) using DCFC and EFDC algorithm: a modeling and simulation approach

ABSTRACT

The electrical power distribution system (EPDS) is an essential component of the power system. Electricity and its services have risen enormously in the recent period, and the primary task of EPDS is to distribute uninterrupted electricity to the consumer. The EPDS comprises numerous intricate, unpredictable, and interlinked components that are frequently susceptible to disruption or malfunction. Faults on EPDS are intended to be appropriately recognized and categorized before being eliminated as quickly as feasible. An efficient fault recognition mechanism makes relaying operations realistic, fast, safe, and dependable. In this article, we introduce a MATLAB simulation model based on the Electrical Fault Detection and Classification (EFDC) algorithm for shunt fault analysis in the EPDS and distinguish among heterogeneous types of shunt fault based on current and voltage waveform throughout the fault. The recommended fault scrutiny and isolation framework might aid in segregating malfunctioning sections from healthy EPDS. Numerous electrical shunt faults are modeled and simulated to detect such deficient behaviors. The suggested EFDC algorithm’s efficacy, including Digital Comparative Fault Classifier (DCFC), is examined by simulating different kinds of shunt faults throughout ring-main EPDS’s source and load regions to evaluate the proposed technique’s adaptability, as well as the outcomes are promising.

KEYWORDS:

• Electrical power distribution system (EPDS)
• fault recognition
• fault scrutiny
• Electrical Fault Detection and Classification (EFDC) algorithm
• Digital Comparative Fault Classifier (DCFC)
• modeling and simulation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplemental data

Supplemental data for this article can be accessed online at https://doi.org/10.1080/02286203.2024.2377896

Additional information

Notes on contributors

Sharad Chandra Rajpoot

Sharad Chandra Rajpoot has received his Master of Technology degree in Power System from C.V.R.U. Kota, Bilaspur C.G. India in 2014 and Bachelor of Engineering in Electrical Engineering from Government Engineering College Bilaspur C.G. India in 2012. He is working as Assistant Professor (HOD) in Electrical Engineering department, Government Engineering College, Jagdalpur, Chhattisgarh, India and Ph. D. scholar, Electrical Engineering, G.E.C. Bilaspur, C.G. India. His interest of research areas are Smart Grid, Micro-grid, micro Phasor Measurement Unit, Smart Electrical Power Distribution System, Fault Detection and Analysis etc. . He has published more than 20 number of research articles in International Journal and conferences. He is also inventor and holds three patents. He has received young scientist award and national eminent engineer award in 2020.

Sanjay Kumar Singhai

Prof. Sanjay Kumar Singhai has received his Ph.D. degree in Electrical Engineering Technol- ogies/Technicians from Guru Ghasidas Central University, Bilaspur. He is working as Pro- fessor (HOD) in Electrical Engi- neering department, Government Engineering College, Bilaspur, Chhattisgarh, India. His interest of research areas are Smart Grid, Micro-grid, micro Phasor Meas- urement Unit, Wireless Commu- nication N/W, Internet of Things. He has published more than 25 number of research articles in International Journal and conferences. Under the able guidance, 4 Ph.D. Schlar have successfully awarded with 4 Ph.D. degree.