An experimentally verified hybrid Cassie-Mayr electric arc model for power electronics simulations

1997 ◽  
Vol 12 (3) ◽  
pp. 429-436 ◽  
Author(s):  
King-Jet Tseng ◽  
Yaoming Wang ◽  
D.M. Vilathgamuwa
Keyword(s):  
Power Electronics ◽  
Electric Arc ◽  
Arc Model ◽  
Electric Arc Model

scholarly journals The Mayr-Pentegov Model of Electric Arc with Selected Static Current-Voltage Characteristics

2020 ◽  
pp. 63-73
Author(s):  
Antoni Sawicki
Keyword(s):  
Electric Arc ◽  
Static Characteristics ◽  
Arc Model ◽  
Current Voltage ◽  
Electric Arc Model ◽  
The Family ◽  
Dynamic Voltage ◽  
Linear Damping ◽  
Current Characteristics ◽  
Derivatives Of

The basic properties of the Mayr-Pentegov mathematical model of the electric arc were described. A set of generalized functions has been selected to approximate static voltage-current characteristics. On their basis, derivatives of the conductance function relative to the squared current, which are used to calculate the non-linear damping function, were determined. Families of static characteristics dependent on parameters of approximating functions are presented. As a result of the simulations of processes in the circuit with the electric arc model, the family obtained dynamic voltage-current characteristics. By using wide ranges of parameter changes, the usability of the developed model using various approximations of static characteristics was demonstrated.

scholarly journals Optimisation of electric arc model parameters based on simplex annealing and genetic algorithms

2019 ◽  
Vol 252 ◽  
pp. 05001
Author(s):  
Tomasz Chmielewski ◽  
Tomasz Kuczek ◽  
Piotr Oramus
Keyword(s):  
Circuit Breaker ◽  
Electric Arc ◽  
Model Parameters ◽  
Switching Overvoltage ◽  
Arc Model ◽  
Electric Arc Model ◽  
Chopping Current ◽  
Multiple Measurements ◽  
Annealing Algorithms ◽  
Genetic Optimisation

This paper presents the method for obtaining the coefficients of the dynamic Cassie-Mayr electric arc model by means of annealing and genetic optimisation algorithms. The extraction of the coefficients can be obtained by means of the iterative fitting process based on e.g. multiple measurements results. However, this requires a significant effort and can generate significant costs. The approach presented in this paper relies solely on simulations. The methodology used herein consists in finding the match to the maximum produced TRV generated during high-voltage shunt reactor current breaking, for ideal switch and conductance based Cassie-Mayr circuit breaker models. This is done for a given chopping current value assigned to the ideal switch which is used as a target. The arc model coefficients are obtained by means of the optimisation process for various values of the desired chopping current level to be reflected by the Cassie-Mayr conductance-based electric arc model. As a result, an advanced conductance based model can be used for assessment of switching overvoltage. Genetic and simplex annealing algorithms have been selected for optimisation. The models as well as the optimisation process were conducted in EMTP-ATP software using its built-in functionalities. The article presents the error assessment and sample traces.

Asymptotic methods for calculating electric arc model parameters

2011 ◽  
Vol 94 (2) ◽  
pp. 89-96 ◽  
Author(s):  
S. Maximov ◽  
V. Venegas ◽  
J. L. Guardado ◽  
E. Melgoza ◽  
D. Torres
Keyword(s):  
Asymptotic Methods ◽  
Electric Arc ◽  
Model Parameters ◽  
Arc Model ◽  
Electric Arc Model
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