A Review of the Dynamic Modelling of Pollution Flashover on High Voltage Outdoor Insulators

Salem, Ali Ahmed; Rahman, Rahisham Abd

doi:10.1088/1742-6596/1049/1/012019

Cited by 14 publications

(11 citation statements)

References 7 publications

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“…Equivalent Salt Deposit Density (SDD) that would produce the defined conductivity has been selected to characterize the severity of polluted insulators. The SDD was determined in compliance with IEC 60507 [20] as indicated in the following formulas:…”

Section: Test Samplementioning

confidence: 99%

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Salem¹,

Rahman²,

Ghanem³

et al. 2021

Computers, Materials &Amp; Continua

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This paper aims to assess the effect of dry band location of contaminated porcelain insulators under various flashover voltages due to humidity. Four locations of dry bands are proposed to be tested under different severity of contamination artificially produce using salt deposit density (SDD) sprayed on an insulator. Laboratory tests of polluted insulators under proposed scenarios have been conducted. The flashover voltage of clean insulators has been identified as a reference value to analyze the effect of contamination distribution and its severity. The dry band dimension has been taken into consideration in experimental tests. The flashover voltage has been predicted using an artificial neural network (ANN) technique based on the laboratory test data. The ANN approach is constructed with five input data (geometry the insulator and parameters of contamination) and flashover voltage as the output of the model. Results indicated that the pollution distribution based on the proposed scenario has a significant influence on the flashover voltage performances. Validation of the ANN model reveals that the relative error values between the experimental results and the prediction appeared to be within 5%. This indicates the significant efficiency of the ANN technique in predicting the flashover voltage insulator under test.

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Section: Test Samplementioning

confidence: 99%

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Salem¹,

Rahman²,

Ghanem³

et al. 2021

Computers, Materials &Amp; Continua

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“…Optimization processes typically consider the CFO (Critical Flashover Overvoltage) parameter associated with the insulators used in distribution networks as a problem restriction, that is if induced overvoltages exceed this value, it is considered that a flashover has occurred. However, modeling the electric arc physical effect caused by flashover is very important to evaluate the real effects of lightning discharges, as presented in [20,21] for insulators subjected to pollution.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

et al. 2020

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Direct lightning discharges in overhead distribution networks invariably cause serious insulation damage, frequently leading to the electric system’s partial or total shutdown. Installing lightning arresters can be very effective, and it is commonly used to minimize this problem; however, considering that typically, electric distribution grids exhibit a very large number of electrical nodes, the massive use of lightning arresters may not be economically viable. In this way, this article proposes a methodology for allocating lightning arresters that can significantly reduce the number of lightning arresters installed, but at the same time maintaining an adequate protection level for the distribution grid. The proposed methodology, named Direct Discharge Crossing (DDC), analyzes the network criticality based on two main factors, which are the overvoltage magnitudes and the number of flashovers provoked by lightning discharges, and defines a feeder lightning performance function that is used to indicate the recommended location for lightning arresters’ installation. The simulation studies are accomplished using the IEEE 34 bus distribution grid and ATP software to demonstrate the efficacy of the proposed solution, which is confirmed by the results presented.

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“…In order to understand accurately propagation and growth of pollution flashover, dynamic aspects related to the electrical and environmental criterias shall be considered. Flashover models indicate the greatest probability of flashover occurance on polluted insulators [6]. The model can be use to predict flashover voltage and also to determine several major parameters, such as discharge time, velocity, and leakage current (LC).…”

Section: Introductionmentioning

confidence: 99%

Proposal of a dynamic numerical approach in predicting flashover critical voltage

Salem¹,

Rahman²,

Kamarudin³

et al. 2019

IJPEDS

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<span lang="EN-US">Glass insulators, due to its diverse characteristics, were used widely around the world for high voltage transmission lines. Surfaces of the insulators are exposed to high electrical, mechanical, and thermal stresses over the period of service. Accumulation of contamination distort stresses distribution along the insulators that may lead to flashover under severe condition. In this paper, Obenaus pollution model has been adopted to propose a dynamic mathematical modelling to determine flashover critical voltage with regard to parameters such as pollution conductivity, arc length, and width of layer of contamination on the surface of glass insulator. In addition, laboratory experimental works have been carried out according to IEC60305 to validate the results from numerical approach, which indicate a good agreement.</span>

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A Review of the Dynamic Modelling of Pollution Flashover on High Voltage Outdoor Insulators

Cited by 14 publications

References 7 publications

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

Proposal of a dynamic numerical approach in predicting flashover critical voltage

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