Real time monitoring of the leakage current of 230 kV insulator strings under washing

Oliveira, Sérgio Campello; Fontana, Eduardo; Cavalcanti, F. J. M. M.

doi:10.1109/tdc.2008.4517247

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Furthermore, as a way to avoid failures on electrical substations near coastal areas, an automatic pressurized water system for the washing of polluted insulators has been proposed [7]. Moreover, other researchers have studied the effect of washing insulators with pressurized water on leakage current that flows on their surface, identifying that during the insulator cleaning, the leakage current increases up to peak values [8,15]. In [16], the authors studied the risk of failure of a high-voltage substation, considering the relation between climatic periods in tropical zones and the leakage current of electrical insulators.…”

Section: Introductionmentioning

confidence: 99%

Modeling leakage current of ceramic insulators subject to high pollution levels for improving maintenance activities

Castillo-Sierra¹,

Oviedo-Trespalacios²,

Candelo³

et al. 2018

DYNA

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This paper presents a useful model to determine the washing periods and to indicate the pollution levels of electrical insulators. The behavior of leakage current, which is one indicator of the presence of pollutants on the insulator surfaces, was characterized through a regression model. We quantitatively examine the behavior of leakage current and the way electrical components are polluted. The data for environmental variables and leakage current in an electrical substation are analyzed and a model is identified that well represents the leakage current behavior on the insulators. Through this model, some predictions of the pollution effect can be made using analysis tools that enable the identification of the effects of leakage current on the entire network. This method can be used to obtain leakage current models on electrical substations located in highly polluted zones.

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Section: Introductionmentioning

confidence: 99%

Modeling leakage current of ceramic insulators subject to high pollution levels for improving maintenance activities

Castillo-Sierra¹,

Oviedo-Trespalacios²,

Candelo³

et al. 2018

DYNA

View full text Add to dashboard Cite

show abstract

“…Several techniques were developed and applied to mitigate insulator pollution flashover; e.g. periodic washing [9,10], greasing and coating with water-repellent agents and materials [11,12], increasing the creepage length of the insulator strings [13,14], and improvement of insulator design [15]. This pollution flashover performance of insulators is one of the guiding factors in their design and dimensioning for outdoor application on power lines [3,16].…”

Section: Introductionmentioning

confidence: 99%

Optimised performance of cap and pin insulator under wet pollution conditions using a mono-objective genetic algorithm

Doufene

Bouazabia

Haddad

2019

Australian Journal of Electrical and Electronics Engineering

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Extensive research was carried out on the relation between pollution performances of high voltage ceramic insulators and their shape. However, very little work is published using numerical optimization methods. In this paper, we propose an alternative approach for optimizing ceramic insulators shapes by adopting an optimization numerical approach, namely the genetic algorithms technique combined with the finite element method for electrical field and leakage current density calculation. The objective is to compare the pollution performance of an industrial (reference) cap and pin insulator with its optimized model obtained usinga genetic algorithms optimization method. The impact of the insulator shape and the pollution on the electrical parameters (voltage, electric field and conduction current density distributions) are quantified. In this work, it was shown that the optimized shape performs better than the exiting equivalent units when the pollution is deposited near to high voltage terminal located at the pin of a cap-and-pin insulator.

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Hyperbolic S -transform-based method for classification of external faults, incipient faults, inrush currents and internal faults in power transformers

Ashrafian

Rostami

Gharehpetian

2012

IET Gener. Transm. Distrib.

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In this study, a hyperbolic S-transform-based method is proposed to discriminate most important transient fault currents of transformers. First, the proposed method discriminates external faults from other disturbances. Then, the S-transform is applied to differential currents. An index is suggested by using absolute deviations of the S-matrix of differential currents to discriminate internal incipient faults in addition to inrush currents and internal faults. The relay issues an alarm signal in the case of the incipient fault but restrains during the magnetising inrush current. If an internal fault is recognised, the relay will issue a trip signal. To study the robustness of the suggested method, a program is developed in the MATLAB environment. The inputs of this program are differential current signals, derived from a system modelled by EMTP software. In order to simulate the internal incipient fault along with internal turn to turn and turn to earth faults, the transformer is modelled as 8 × 8 RL matrices, derived by using subroutine BCTRAN in EMTP. Also, differential currents are contaminated by noise and it is shown that the suggested method is not affected by noise and it can discriminate incipient faults, inrush currents, internal faults and external faults.

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Real time monitoring of the leakage current of 230 kV insulator strings under washing

Cited by 4 publications

References 6 publications

Modeling leakage current of ceramic insulators subject to high pollution levels for improving maintenance activities

Modeling leakage current of ceramic insulators subject to high pollution levels for improving maintenance activities

Optimised performance of cap and pin insulator under wet pollution conditions using a mono-objective genetic algorithm

Hyperbolic S -transform-based method for classification of external faults, incipient faults, inrush currents and internal faults in power transformers

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