Parameter estimation of DC black-Box arc models using genetic algorithms

Pessoa, Felipe P.; Acosta, Jhair S.; Tavares, Maria Cristina

doi:10.1016/j.epsr.2021.107322

Cited by 7 publications

(10 citation statements)

References 7 publications

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“…To take this into account and maintain numerical stability, the resistance is saturated at threshold R MAX a . In addition, arc voltage u al cannot be measured directly and is therefore estimated using the basic relationship equation from (32) as follows:…”

Section: Initial Parameter Selectionmentioning

confidence: 99%

“…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%

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

Blažič,

Škrjanc,

Logar

2024

Metals

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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.

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Section: Initial Parameter Selectionmentioning

confidence: 99%

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

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“…The electric arc dynamics are modelled by a differential equation in the current i a or by defining its dynamic conductance with its change through time. A good overview appears in [67] of the original contributions by Mayr [51] and by Cassie [48] and their combination in more complex models.…”

Section: Dynamic Electric Arc Modelmentioning

confidence: 99%

“…The Mayr's model alone instead can be improved, leading to the so called Schwarz model. A larger flexibility is achieved by combining three parameterised independent arc equations in the so called KEMA model, necessitating then a more complex tuning by fitting to experimental values by means of e.g., genetic algorithms [67], compared to more traditional non-linear least squares methods, such as Levenberg-Marquardt [72] or Powell's dog leg [73] for the solution of the simpler Schwarz model.…”

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confidence: 99%

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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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Series Dc arc fault detection and location in wind-solar-storage hybrid system based on variational mode decomposition

Wang

Guo

et al. 2022

Electric Power Systems Research

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Parameter estimation of DC black-Box arc models using genetic algorithms

Cited by 7 publications

References 7 publications

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

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

The Electrical Behaviour of Railway Pantograph Arcs

Series Dc arc fault detection and location in wind-solar-storage hybrid system based on variational mode decomposition

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