Arc Model for CO2-O2 Gas Circuit Breaker and Prediction of SLF Interrupting Performance

Pyro-breaker, a fast-responding, highly reliable and explosive-driven circuit breaker, is utilized in several Quench Protection Systems (QPS). The commutation process and its parameters are the main technical considerations in the process of designing a new pyro-breaker. The commutation parameters, such as the commutation time and the current change rate, are not only determined by the electrical parameters of the commutation circuit but also the arc behavior during the operation. The arc behavior is greatly affected by the structure and the driving mechanism of the Commutation Section (CS) in the pyro-breaker. The arc model was developed decades ago and the black-box arc model is considered a valid method to study arc behavior. In this paper, the Schavemaker black-box arc model, an improved Mayr-type arc model, is applied to study the commutation process of a newly designed pyro-breaker. Unlike normal circuit breakers, the arc discussed in this paper is discharged in deionized water. A parameter selection method is proposed. The practicability of the method is verified by numerical calculation in Power Systems Computer Aided Design (PSCAD) and experimentally.

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Investigation on the Influence of Gas Pressure on CO2 Arc Characteristics in High-Voltage Gas Circuit Breakers

Plasma Physics and Technology Journal ◽

10.14311/ppt.2017.1.95 ◽

2017 ◽

Vol 4 (1) ◽

pp. 95-98

Author(s):

Z. Guo ◽

X. Li ◽

Y. Zhang ◽

X. Guo ◽

J. Xiong

Keyword(s):

High Voltage ◽

Power Loss ◽

Circuit Breaker ◽

Filling Pressure ◽

Gas Pressure ◽

Circuit Breakers ◽

Promising Alternative ◽

Arc Model ◽

Arc Characteristics ◽

Temperature Distributions

CO2 is identified as a promising alternative gas of SF6. The magnetohydrodynamics (MHD) arc model is established for a CO2 circuit breaker. The influence of gas pressure is studied. The simulations are carried out for 0.5 MPa, 0.7 MPa and 0.9 MPa absolute filling pressure, allowing predictions of pressure and temperature distributions. The arc time constant θ and the power loss coefficient Q is extracted. The thermal interruption capability is estimated to grow with increasing filling pressure.

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220 kV Circuit Breaker Modeling and Its Parameter Determination Based KEMA Arc Model

2018 IEEE International Conference on High Voltage Engineering and Application (ICHVE) ◽

10.1109/ichve.2018.8642087 ◽

2018 ◽

Author(s):

Xun Zhang ◽

Kai Dai ◽

Lijin Zhao ◽

Zhengzheng Fu ◽

Huarong Zeng ◽

...

Keyword(s):

Circuit Breaker ◽

Parameter Determination ◽

Arc Model

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

MATEC Web of Conferences ◽

10.1051/matecconf/201925205001 ◽

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.

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