Dynamic modeling of ac insulator flashover characteristics

Karady, G.G.; Amarh, F.; Sundararajan, Raji

doi:10.1049/cp:19990804

Cited by 17 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where is the surface conductivity of pollution layer in Siemens, S, and FF is the form factor and this factor is calculated as in references [18,19]:…”

Section: Theoretical Development and Basic Assumptionsmentioning

confidence: 99%

“…The same formula is used as the extinction voltage even though this may not be the case for real arcs. After the supply voltage passes through the natural current zeros, the arc reignites when the supply voltage exceeds this value of V ig which is given in references [6,18]. It is noted that the values of the constants 23 and 0.4 used in Eq.…”

Section: Theoretical Development and Basic Assumptionsmentioning

confidence: 99%

“…The arc resistance per unit length r arc is obtained dynamically from Mayr's equation [18,20] as shown in Eqs. (11) and (12).…”

Section: Theoretical Development and Basic Assumptionsmentioning

confidence: 99%

See 2 more Smart Citations

A new proposed dynamic arc model for flashover performance of a non-uniform polluted insulator string under HVAC stress

El-Zohri

Ziedan

Procházka

2015

Electric Power Systems Research

View full text Add to dashboard Cite

“…where is the surface conductivity of pollution layer in Siemens, S, and FF is the form factor and this factor is calculated as in references [18,19]:…”

Section: Theoretical Development and Basic Assumptionsmentioning

confidence: 99%

Section: Theoretical Development and Basic Assumptionsmentioning

confidence: 99%

See 1 more Smart Citation

A new proposed dynamic arc model for flashover performance of a non-uniform polluted insulator string under HVAC stress

El-Zohri

Ziedan

Procházka

2015

Electric Power Systems Research

View full text Add to dashboard Cite

“…Karady measured the peak leakage current and correlated the current with the flashover voltage. He suggested that the flashover is imminent if the leakage current peak exceeds 100 mA (Karady et al, 1999). In practice, there are various contaminant types that settle on outdoor insulators.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Leakage Current to Predict Insulator Flashover Using Artificial Neural Network

Narmadhai¹

2011

Journal of Computer Science

View full text Add to dashboard Cite

Problem statement:The phenomenon of flashover in polluted insulators has been continued by the study of the characteristics of contaminating layers deposited on the surface of insulators in high voltage laboratories. In the literature, Experimental investigations have been carried out on a real insulator or a flat plate model of insulators under high voltage application. This study proposed the Equivalent insulator flat plate model for studying the flashover phenomena due to pollution under wet conditions even at low voltage. Laboratory based tests were carried out on the model under AC voltage at different pollution levels. Different concentrations of salt solution has been prepared using sodium chloride, Kaolin and distilled water representing the various contaminations. Leakage current during the experimental studies were measured for various polluted conditions. Approach: A new model of Vc = f (V, I initial , I em , I emax and I σ ) based on artificial neural network has been developed to predict flashover from the analysis of leakage current. The input variable to the artificial neural network are mean (I mean ), Maximum(Imax) and standard deviation(I σ ) of leakage current extracted along with the initial value of leakage current I initial and the input voltage(V).The target obtained was used to evaluate the performance of the neural network model. Results: The optimum process has been carried out based on the training accuracy measured by RMSE, the network converged to a threshold of 0.0001.The trained model prediction is in good agreement with the actual results and the R 2 value of the developed model is 0.99996. Conclusion: The developed ANN model is well-suited for the analysis of leakage current to predict flashover on the insulator surface with high accuracy.

show abstract

“…A number of studies have demonstrated that, for ceramic insulators, the leakage current could be used to provide an indication of insulator condition [9][10][11][12]. In an investigation of leakage current behavior on naturally aged polymeric insulators [13], leakage current levels were measured during steam fog tests on a number of naturally aged silicone rubber and EPDM insulators.…”

Section: Introductionmentioning

confidence: 99%

Rate of energy absorption as indicator for the tracking/erosion test of silicone rubber

Crespo-Sandova

Haddad

Griffiths

et al. 2010

IEEE Trans. Dielect. Electr. Insul.

View full text Add to dashboard Cite

An extensive laboratory test program was used to investigate the performance of silicone rubber material samples of various grades when subjected to inclined-plane test conditions. In this paper, the leakage current and applied voltage waveforms were monitored and stored. The captured waveforms were then analyzed, and a number of parameters characterizing the waveforms (FFT, THD, power, energy, and power factor angle, charge and absorbed energy) were calculated. The use of the calculated parameters as possible indicators of material degradation was investigated. In many cases, no obvious trends with time have emerged. However, the results for the absorbed energy and its rate of change show different trends for samples approaching failure, i.e. end-of-life. These observations may be useful in predicting imminent sample failure, and the derived rate of change of energy absorption factor may be a more quantitative indicator of sample level of degradation and, hence, material classification.

show abstract

Dynamic modeling of ac insulator flashover characteristics

Cited by 17 publications

References 0 publications

A new proposed dynamic arc model for flashover performance of a non-uniform polluted insulator string under HVAC stress

A new proposed dynamic arc model for flashover performance of a non-uniform polluted insulator string under HVAC stress

Analysis of Leakage Current to Predict Insulator Flashover Using Artificial Neural Network

Rate of energy absorption as indicator for the tracking/erosion test of silicone rubber

Contact Info

Product

Resources

About