Parameter Estimation of Black Box Arc Model based on Heuristic Optimization Algorithms

Zhang, Guogang; Liu, Yakui; Lu, Qi; Xu, Youdang; Kurrat, Michael

doi:10.1109/holm.2018.8611668

Cited by 8 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Arc conductance reflect the dynamic characteristics of arc. In this paper, the total square error of arc conductance is used as the objective function as in equation (18). This objective function serves as a metric to evaluate the performance of arc parameters.…”

Section: Parameter Optimization Of Black-box Models By Psomentioning

confidence: 99%

“…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]. It has found that PSO and GA have good global search ability and can effectively determine optimal arc parameters with appropriate parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…The hyperparameters of the arc model were then estimated using measurements from a dedicated experimental setup. In addition to the EAFs, the circuit breaker models [27][28][29][30][31][32] also utilized the arc models with more advanced adaptations of Mayr's and Cassie's models, i.e., the Schwarz arc model, the Habedank arc model, the KEMA arc model [31,32] and the Schavemaker arc model [28]. However, these models introduce additional parameters, which makes their identification even more difficult.…”

Section: Introductionmentioning

confidence: 99%

Arc Quality Index Based on Three-Phase Cassie–Mayr Electric Arc Model of Electric Arc Furnace

Blažič,

Škrjanc,

Logar

2024

Metals

View full text Add to dashboard Cite

In steel recycling, the optimization of Electric Arc Furnaces (EAFs) is of central importance in order to increase efficiency and reduce costs. This study focuses on the optimization of electric arcs, which make a significant contribution to the energy consumption of EAFs. A three-phase equivalent circuit integrated with the Cassie–Mayr arc model is used to capture the nonlinear and dynamic characteristics of arcs, including arc breakage and ignition process. A particle swarm optimization technique is applied to real EAF data containing current and voltage measurements to estimate the parameters of the Cassie–Mayr model. Based on the Cassie–Mayr arc parameters, a novel Arc Quality Index (AQI) is introduced in the study, which can be used to evaluate arc quality based on deviations from optimal conditions. The AQI provides a qualitative assessment of arc quality, analogous to indices such as arc coverage and arc stability. The study concludes that the AQI serves as an effective operational tool for EAF operators to optimize production and increase the efficiency and sustainability of steel production. The results underline the importance of understanding electric arc dynamics for the development of EAF technology.

show abstract

“…Multiple mathematical "black box" models and physical models have been proposed for the "AC breaking arc." A black-box model that corresponds to the "DC breaking arc" has not yet been proposed [9][10][11][12][13]. In [11], a heuristic model approximating the hyperbolic tangent function is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Study of DC Switching Electric ARC Characteristics for Low Voltages

Ariyarathne,

Jayatissa,

Silva

2023

JENRR

View full text Add to dashboard Cite

Aims: The purpose of this paper is to investigate the DC electric arc characteristics for low voltages. And explore the relationship among arc time, arc voltage and arc current. Study Design: The experimental setup mainly consisted of a switch contact pair, variable resistive load, and a variable power supply. An oscilloscope was used to collect the voltage variations of the switch and the load. The voltage variation data were used to do further analysis. Place and Duration of Study: Department of Physics and Electronics, University Of Kelaniya, Sri Lanka between September 2021 and May 2022. Methodology: Voltage variations between the contact pair and the load voltage were measured using an oscilloscope for both switching on and off operations. The experiment was performed for four voltage levels; 60 VDC, 80 VDC, 100 VDC, and 120 VDC. For each voltage level, four load conditions were tested. Therein, a total of 16 different conditions were tested. Five tests were done for each condition. The average values were taken for analysis. Conclusion: When the switch contacts start to separate, the arc voltage must reach the arc starting voltage to form an arc. Moreover, according to the supply voltage and current, there is always a maximum voltage value that arc can reach, which is less than the supply voltage (arc ending voltage). After the arc was formed in DC systems, the arc voltage variation with time can be modeled using the trigonometry tan function.

show abstract

Parameter Estimation of Black Box Arc Model based on Heuristic Optimization Algorithms

Cited by 8 publications

References 6 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

Arc Quality Index Based on Three-Phase Cassie–Mayr Electric Arc Model of Electric Arc Furnace

A Study of DC Switching Electric ARC Characteristics for Low Voltages

Contact Info

Product

Resources

About