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

Rashtchi, Vahid; Azzabi, Lotfi; Mousavi, Amir

doi:10.1109/pecon.2008.4762720

Cited by 11 publications

(4 citation statements)

References 4 publications

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“…P i and P g are the individual optimal value and the global optimal value of particles, respectively. Dynamic inertia weights are employed to make sure that PSO has good global search ability at the beginning and has a high likelihood of converging to the global optimal position, as shown in (17). With the increase of iteration times, the inertia of particle velocity gradually decreases.…”

Section: Parameter Optimization Of Black-box Models By Psomentioning

confidence: 99%

“…Heuristic algorithms regard arc parameters determination as an optimization process to find the optimal parameters by minimizing arc voltage or conductance error by adjusting the parameters with random initial values. Compared to other methods, heuristic algorithms have advantages of fast speed and wide applicability in determining arc parameters [15] optimized the arc parameters for a 220 kV circuit breaker by PSO [16,17] optimized the parameters of KEMA model for SF6 circuit breaker by Genetic Algorithm (GA). And the performance of different algorithms like GA and PSO are compared in arc parameters determination [18,19].…”

Section: Introductionmentioning

confidence: 99%

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Black-box models for liquid nitrogen arc and its parameters optimization by PSO algorithm

et al. 2023

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Sulphur Hexafluoride (SF6) has been widely utilized in the Gas Insulated Switchgear (GIS) due to its great insulation ability. However, SF6 has great greenhouse effect. Liquid nitrogen (LN2) has been considered as a promising substitute for the SF6 gas because of its good insulation, arc quenching and cost effectiveness. To accurately simulate the LN2 switch, it is essential to establish a mathematical model for the LN2 arc. Black-box models have been commonly used in describing the dynamic characteristics of gas arc in circuit breaker simulations. There are many kinds of black-box models for gas arc, yet there is no literature available about the application of black-box models for the LN2 arc. This paper aims to establish the black-box model for the LN2 arc. Based on the experimental data, several kinds of black-box models including the Mayr, Cassie, Schwarz, Habedank and TP KEMA models were established, and their parameters were optimized by the Particle Swarm Optimization (PSO) algorithm. The performance of these black-box models was evaluated by the arc conductance error. The results showed that black-box models can be utilized for LN2 arc simulations, and the TP KEMA model exhibits the best performance with minimal conductance errors throughout the arcing process.

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Section: Parameter Optimization Of Black-box Models By Psomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Black-box models for liquid nitrogen arc and its parameters optimization by PSO algorithm

et al. 2023

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“…Most of the published work regarding black box models is based on the well-known Cassie and Mayr models, which provide a qualitative description of the arc in the high-current and lowcurrent regions, respectively. [25][26][27] The Cassie model regards the arc as a cylindrical plasma, while the diameter varies with the change of current, and the energy dissipation of the arc is directly related to the cross-sectional area. 28 The Mayr model is similar to the Cassie model in some aspects, such as regarding the arc as a constant diameter cylindrical plasma.…”

Section: Principles Of the Arc Modelmentioning

confidence: 99%

Analysis of electrical characteristics of the four-quadrant converter in high speed train considering pantograph-catenary arcing

Lin

Wang

Yang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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Pantograph-catenary disconnection occurs quite frequently in high-speed situations. Pantograph arcing has a significant impact on the contact surfaces and power quality. This article focuses on the effect on the electrical characteristics of the four-quadrant converter of pantograph arcing. An arc model which combines Cassie's arc model with Mayr's arc model is built. This article mainly researches the influence of the pantograph arcing on the four-quadrant converter in different durations. Pantograph arcing leads to voltage pulse in voltage, as well as the harmonics in the current of the alternating current side. At the same time, the direct current voltage decreases when the arc occurs. Therefore, it can ultimately decrease the output torque and increase the torque pulsation of the motor.

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“…The already introduced KEMA model was first proposed in 2000 by Smeets and Kertesz [79] and then discussed and used more recently [67,80]. The model consists of three modified Mayr's models connected in series, that are then subject to numerical fitting.…”

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confidence: 99%

The Electrical Behaviour of Railway Pantograph Arcs

Mariscotti

2023

Energies

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Electric arcing is an unavoidable consequence of the current collection process by sliding contact in railways and metros, and in general in many electrified transportation systems (ETSs). The most relevant consequences in an electrical perspective are: the occurrence of transients triggering resonant behaviour and transient responses, reduction of the energy efficiency of the system, conducted and radiated disturbance, in particular for the new radio systems widely employed for signalling and communication. The involved parameters are many (type of materials, current intensity, DC and AC supply, relative speed, temperature), as well as the studied characteristics (arc instability and lifetime, dynamic behaviour, electrical system response, radiation efficiency and coupling to external radio systems). This work reports the state of the art in arc modelling, arcing experimental characterisation, interaction with the supply system, radiated emissions and disturbance to radio systems, providing a complete description of phenomena and of reference data, critically discussing similarity and differences between sources. Proposed arc models are many with different assumptions and simplifications for various applications, so that a critical review and discussion are a necessity, considering the many different approaches and not-so-obvious applicability. The comparison with experimental results highlights unavoidable discrepancies, also because of intrinsic arc variability and for the many involved parameters and operating conditions. The impact of the arc as embedded in the railway system is then considered, speaking of conducted and radiated phenomena, including interference to radio communication systems and arc detection. The most prominent effect for conducted emissions is the excitation of system resonances, including the LC filters onboard rolling stock and substations in DC railways, with consequences for disturbance and energy efficiency, and this is discussed in detail. Conversely, for high frequency emissions, the attenuation along the line circuit is significant and the effective distance of propagation is limited; nevertheless radiated electromagnetic field emissions are a relevant source of disturbance for radio systems within the ETS premises and outside (e.g., at airports). The published approaches to quantify performance reduction are discussed with emphasis on experimental methods.

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

Cited by 11 publications

References 4 publications

Black-box models for liquid nitrogen arc and its parameters optimization by PSO algorithm

Black-box models for liquid nitrogen arc and its parameters optimization by PSO algorithm

Analysis of electrical characteristics of the four-quadrant converter in high speed train considering pantograph-catenary arcing

The Electrical Behaviour of Railway Pantograph Arcs

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