Identification of KEMA arc model parameters in high voltage circuit breaker by using of genetic algorithm

Author(s):  
Vahid rashtchi ◽  
Abbass Lotfi ◽  
Ali mousavi
2011 ◽  
Vol 52-54 ◽  
pp. 1009-1014 ◽  
Author(s):  
Tao Jin ◽  
Wei Chen ◽  
Tao Ning

In order to estimate the parameters of capacitance, inductance and resistance in oscillation circuit DC circuit breaker a method of parameter estimation of High-Voltage circuit break based on genetic algorithms is proposed and which can properly assess the performance of DC circuit breaker. In this paper A genetic algorithm is introduced and applied in parameter estimation of High-Voltage circuit breaker and then compare it with the traditional MATLAB curve fitting, the result clearly reveal the advantages of genetic algorithm.


2018 ◽  
Vol 33 (4) ◽  
pp. 1835-1844 ◽  
Author(s):  
Toshiya Ohtaka ◽  
Viktor Kertesz ◽  
Rene Peter Paul Smeets

2013 ◽  
Vol 380-384 ◽  
pp. 3213-3216
Author(s):  
Hai Yan Wang ◽  
Duan Lei Yuan ◽  
Chen Xu Niu ◽  
Hua Jun Dong

In this paper, mainly for the problem that high voltage circuit breaker closing at the random phase can bring hard harmfulness to the power system. We design the 35kV SF6-Phase Control circuit breaker can control speed smartly, and opens or closes with phase selection, which is equipped with the magnetic actuator. In the article, the static and transient simulation analysis which includes the load force, and carried out prototype trial and test validation. At last, the results of simulation and test is given.


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