Estimation of non-technical loss rates by regions

Ventura, Lucas; Felix, Gustavo Estevo; Vargas, Renzo; Faria, Lucas Teles; Melo, Joel D.

doi:10.1016/j.epsr.2023.109685

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…It is applied to address events aggregated by municipalities, neighborhoods, or CTs, where the exact location of events is unavailable; however, an aggregated value by area is available. The visualization of data aggregated by regions is usually performed through thematic maps with the spatial pattern phenomenon under study [16,34,35].…”

Section: Spatial Analysis With Data Aggregated By Regionsmentioning

confidence: 99%

Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges

Santos,

Faria,

Lopes

et al. 2023

Energies

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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, the main aim of this study is to prevent faults by estimating the city regions whose power grid is most vulnerable to them. In this sense, this work incorporates a geographical-space study via a spatial data analysis using the local variable electrical discharge density that can increase fault risks. A 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. The spatial data analysis is implemented in QGIS and R programming environments. It is applied to the real data of faults in distribution power grid transformers and 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.

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Section: Spatial Analysis With Data Aggregated By Regionsmentioning

confidence: 99%

Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges

Santos,

Faria,

Lopes

et al. 2023

Energies

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Estimation of Vulnerable Areas to Faults Caused by Tree Vegetation in Power Distribution Systems

Santos,

Faria,

Boschi

et al. 2024

IEEE Access

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Faults in power distribution feeders cause damage to power utilities due to the deterioration of reliability and power quality indexes and the displacement of field maintenance teams to replace or repair power grid equipment. Additionally, consumer units have energy supply interruptions for an undetermined time. Studies in specialized literature usually detect, classify, and locate faults after they occur. In contrast, preventing faults by estimating areas vulnerable to them is crucial to mitigate all inconveniences and additional costs after they occur. Tree vegetation is an essential factor contributing to faults. In this sense, an enhanced method for tree vegetation mapping by areas is developed using multilayer perceptron neural networks trained on high-resolution images from Google Earth. A geographic space is incorporated to estimate the regions vulnerable to failures due to tree vegetation. Geographically weighted spatial analysis is applied from local variables aggregated by areas. Spatial data analysis is used to real faults and tree vegetation data from a medium-sized Brazilian city via QGIS and R programming environments. As a result, thematic maps are produced with the areas whose feeders are vulnerable to faults, where there is a moderate positive correlation by regions between the faults in distribution transformers and tree vegetation in the northeast and southwest areas of the city under study.

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Power Distribution Systems Vulnerability by Regions Caused by Electrical Discharges

Santos,

Faria,

Lopes

et al. 2023

Preprint

View full text Add to dashboard Cite

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.

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Estimation of non-technical loss rates by regions

Cited by 3 publications

References 37 publications

Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges

Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges

Estimation of Vulnerable Areas to Faults Caused by Tree Vegetation in Power Distribution Systems

Power Distribution Systems Vulnerability by Regions Caused by Electrical Discharges

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