February 29, 2024
Amin Torabi Jahromi

Amin Torabi Jahromi

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Electrical Engineering
Phone: 09171023389
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A Novel Fault Location Methodology for Smart Distribution Networks
Type Article
Keywords
Journal IEEE Transactions on Smart Grid
DOI
Researchers hamid mirshekali (First researcher) , Rahman Dashti (Second researcher) , Ahmad Keshavarz (Third researcher) , Amin Torabi Jahromi (Fourth researcher) , hamid reza shaker (Fifth researcher)

Abstract

Power distribution networks (PDNs) has played a crucial role in expediting transition towards cleaner and better distributed energy sources. Nowadays, more and more distributed generations (DGs) are used in PDNs which complicates the automatic fault location. This paper presents an accurate impedance-based method to determine the fault location for smart PDN in the presence of DGs. In addition, phase domain equations of distributed line parameters are used to enhance the accuracy of fault location. Two types of networks are considered. The first type of network is assumed to be fully observable with ???????? and in the second type there are only a few ????????s with data loggers on the rest nodes. Load impedances of all nodes are estimated using pre-fault recorded information by present ????????s and data loggers. The proposed algorithm might suggest several points as possible fault locations for a PDN. To find out the actual location of fault same fault type is simulated for all suggested points. A matching value which is mathematically defined in the paper, is calculated using recorded and simulated voltage to determine the actual fault point among all the suggested candidates. The accuracy of suggested method is analyzed against various conditions.