Simulation of electrical arc stochastic behaviour in CO2 circuit breaker and its advantages in comparison with conventional electrical arc black box models

R. Sargazi, A. Akbari, Ali Asghar Razikazemi
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引用次数: 1

Abstract

nowadays utilization of SF6 in gaseous circuit breakers (GCB) is suppressed due to global warming. Among these, combined gaseous dielectric such as SF6/N2, N2/CO2, and CO2 have proven their suitability as a substitute for pure SF6. The once estimation of electric arc profile in circuit breaker with different gaseous medium is substantial for designing and performance of them, during past decades many research is performed, which some of them lead to the black box models. Legros-Genon is the only one of black box models which is able to consider stochastic behaviour of electrical arc construction process. On the one hand, as parameters estimation methods for black box models are mathematical, which obtained from one or several limited test shot, stochastic process of electrical arc construction can't be considered. On the other hand conventional black box models haven't enough flexibility to modify themselves with operational conditions. In this paper alongside comprehensive review and simulation of black box models in a typical CO2 circuit breaker, the advantages of Legros-Genon model, which described by means of Weibull distribution function, versus conventional models is investigated.
CO2断路器电弧随机行为模拟及其与传统电弧黑箱模型的优越性
目前,由于全球变暖,SF6在气体断路器(GCB)中的利用受到抑制。其中,SF6/N2、N2/CO2、CO2等复合气体介质已被证明可以替代纯SF6。不同气体介质下断路器电弧分布的一次性估计对断路器的设计和性能具有重要意义,在过去的几十年里进行了大量的研究,其中一些研究产生了黑匣子模型。Legros-Genon是唯一能够考虑电弧构建过程随机行为的黑箱模型。一方面,由于黑箱模型的参数估计方法是数学方法,是由一个或几个有限的测试射击获得的,因此不能考虑电弧形成的随机过程。另一方面,传统的黑匣子模型没有足够的灵活性来根据操作条件进行自我修改。本文在对典型CO2断路器黑匣子模型进行全面回顾和仿真的基础上,探讨了采用威布尔分布函数描述的Legros-Genon模型相对于传统模型的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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