Santos, A.S.; Faria, L.T.; Lopes, M.L.M.; Minussi, C.R. Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges. Energies2023, 16, 7790.
Santos, A.S.; Faria, L.T.; Lopes, M.L.M.; Minussi, C.R. Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges. Energies 2023, 16, 7790.
Santos, A.S.; Faria, L.T.; Lopes, M.L.M.; Minussi, C.R. Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges. Energies2023, 16, 7790.
Santos, A.S.; Faria, L.T.; Lopes, M.L.M.; Minussi, C.R. Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges. Energies 2023, 16, 7790.
Abstract
Energy supply interruptions or blackouts caused by faults in power distribution feeders entail several damages to power utilities and consumer units: financial losses, damage to power distribution reliability, power quality deterioration, etc. Most studies in the specialized literature concerning faults in power distribution systems present methodologies for detecting, classifying, and locating faults after their occurrence. In contrast, this study aims to prevent faults by estimating the city regions whose power grid is most vulnerable to them. This work incorporates the geographic space study to prevent faults in the distribution power grid through a spatial data analysis using local variables that increase the fault risk in feeders in some city regions. Geographically weighted spatial analysis is applied to data aggregated by regions to produce thematic maps with the city regions whose feeders are more vulnerable to failures. Spatial data analysis is developed in QGIS and R programming environments. It is applied in real data of electrical discharges in a medium-sized city with approximately 200,000 inhabitants. In this study, we highlight a moderate positive correlation between electrical discharge density and the percentage of faults in transformers by regions in the central and western areas of the city under study.
Keywords
Power Distribution Systems (PDS); Spatial Data Analysis (SDA); Steady-State Fault
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
