Modeling trees internal tissue for estimating electrical leakage current

Namdari, Farhad; Bahador, Nooshin

doi:10.1109/tdei.2016.005492

Cited by 7 publications

(8 citation statements)

References 27 publications

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“…The results show that while 96 percent of the downed conductor incidents were detected, due to the relay's bias toward secure operation, only 58 percent of incidents were reported. [62] incorporated a factor for environmental conditions to estimate the leakage current in the power distribution system under various weather conditions. A finite element modeling approach to calculate the power losses considering mechanical characteristics of tree tissues was presented and experimental analysis was performed to validate the results.…”

Section: B Timely Detection Of Fire-inducing Faultsmentioning

confidence: 99%

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

et al. 2021

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Wildfires pose a significant challenge to the natural and the built environments, as well as the safety and economic wellbeing of the communities residing in wildfire-prone areas. The electric power grid is specifically among the built environments most affected by, and contributing to, wildfires. In this paper, we propose a three lines of defense (3LD) framework for wildfire risk management in electric power infrastructure and review the literature from this lens. An overview of the physics and phenomenology of the wildfires as it relates to power grids is presented, and the logic for the proposed 3LD framework is discussed. The reviewed literature based on the 3LD theme includes the most relevant and emerging research work on wildfire prevention as the first line of defense, wildfire mitigation and proactive response as the second line of defense, and wildfire recovery preparedness as the third line of defense. This study reveals that while the state of the art, to a large extent, stands comprehensive in various aspects of power system resilience and wildfire risk management, there is a gap in the literature in addressing this emerging risk in a holistic, interdisciplinary approach.

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Section: B Timely Detection Of Fire-inducing Faultsmentioning

confidence: 99%

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

et al. 2021

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“…Moreover, this water content also depends on species. So, what could be representative of the environmental parameters is the water content and in other words the electrolyte content of vessels [19].…”

Section: Coefficient Extracting For Considering Variations In Environmentioning

confidence: 99%

“…In this section, 3D finite element method (FEM) [19] is employed to model THIF by considering the type of trees (species). For this purpose, the results of EC measurements which obtained in Table 4.…”

Section: Coefficient Extracting For Considering Variations In Environmentioning

confidence: 99%

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Modelling and detection of live tree‐related high impedance fault in distribution systems

Bahador

Namdari

Matinfar

2018

IET Generation, Transmission & Distribution

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“…Based on measurements taken on the trees touching LV power lines [9], the internal structure of trees and consequently the amount of leakage current passes through them changes in short-term environmental conditions (temperature and humidity) and long-term environmental conditions (seasonal variation in tree physiology). Furthermore, the effect of moisture content variations on electrical resistance is not the same for all species [27].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Power Losses Caused by Hidden Tree-Related High Impedance Faults

Bahador

Azzabi²

2016

Bulletin EEI

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The great majority of overhead distribution systems in urban and rural areas of countries such as Australia, Iran and etc., are in interfering with vegetation. This phenomena leads to high impedance faults (HIFs) which not produce enough fault current to be detectable and consequently causes electrical energy losses. In this paper, according to experimental data obtained from measurements, the effective factors in power losses caused by trees are studied and a new numerical model of power loss is presented so as to reflect the effects of environmental conditions and biological classification. The base of this method is according to Samuelson theory. In proposed algorithm, the impacts of species, short-term environmental conditions (temperature and humidity) and long-term environmental conditions (Seasonal variations in physiology) on the power loss estimation are fully considered. Experimental investigations on a real low voltage (380 V) and medium voltage (20 kV) distribution network verify the algorithm’s operation.

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Modeling trees internal tissue for estimating electrical leakage current

Cited by 7 publications

References 27 publications

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review

Modelling and detection of live tree‐related high impedance fault in distribution systems

Modeling of Power Losses Caused by Hidden Tree-Related High Impedance Faults

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