Surge immunity test analysis for modern switching mode power supplies

Miller, Daniel; Kennel, Ralph; Reddig, Manfred; Schlenk, Manfred

doi:10.1109/intlec.2016.7749027

Cited by 10 publications

(13 citation statements)

References 5 publications

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“…In group A, all coefficients for the parameters considered will be increas Adaptation of the valuation parameter in both groups could be used accordin cation requirements. Coefficients for group A and group B were selected accord presented in [26].…”

Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

“…• M i k -a calculated value of i-th parameter for component k, e.g., power peak for R9; • Mi k -a maximum value of i-th parameter for component k, e.g., voltage, power, or current defined in the manufacturer documentation without margin; • β i k -a valuation parameter in respect of components in group A (Figure 3) it can be replaced with the maximum ratio factor (110% of maximum value [26]). In the case of the other one (group B), it was defined as 50% ( [26]) of the value declared by the manufacturer. This factor represents the valuation parameter of component damage [26];…”

Section: Fitness Function Descriptionmentioning

confidence: 99%

“…Adaptation of the valuation parameter in both groups could be used according to application requirements. Coefficients for group A and group B were selected according to data presented in [ 26 ].…”

Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

“…

—a valuation parameter in respect of components in group A ( Figure 3 ) it can be replaced with the maximum ratio factor (110% of maximum value [ 26 ]). In the case of the other one (group B), it was defined as 50% ([ 26 ]) of the value declared by the manufacturer. This factor represents the valuation parameter of component damage [ 26 ];…”

Section: Algorithm Descriptionmentioning

confidence: 99%

See 3 more Smart Citations

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Zieliński

Grzechca

2022

Sensors

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Among a variety of problems with communication lines, the faults of surge protection modules in railway applications have a significant impact on the transmission line availability, especially if the devices are located in lightning-prone areas or other high-energy exposure areas, such as voltages or current changes. An advanced optimization of the surge protection module is proposed together with its verification, based on simulated waveforms for components and their limitations (e.g., power, peak power, maximum voltages, maximum currents, etc.). It allows for gathering information about the safety margin for each parameter of the components. This can be used to manage the probability of damage to the protection module. The authors have shown the power distribution during exposure that should be considered while developing new devices for railway transportation industry.

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Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

Section: Fitness Function Descriptionmentioning

confidence: 99%

Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

“…

Section: Algorithm Descriptionmentioning

confidence: 99%

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Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Zieliński

Grzechca

2022

Sensors

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“…They are seen to possess various useful properties which can be utilized in many applications including modeling. Surge waveforms have a lot of practical significance in many areas of mathematics and engineering [6]- [8]. A dying-surge can be defined as one whose amplitude reaches very high values (infinite) in almost zero (very short) time interval and then reduces to arbitrarily small values before settling down to zero.…”

Section: Introductionmentioning

confidence: 99%

Riemann Zeta Based Surge Modelling of Continuous Real Functions in Electrical Circuits

Jibril

2021

Preprint

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Riemann zeta is defined as a function of a complex variable that analytically continues the sum of the Dirichlet series, when the real part is greater than unity. In this paper, the Riemann zeta associated with the finite energy possessed by a 2mm radius, free falling water droplet, crashing into a plane is considered. A modified zeta function is proposed which is incorporated to the spherical coordinates and real analysis has been performed. Through real analytic continuation, the single point of contact of the drop at the instant of touching the plane is analyzed. The zeta function is extracted at the point of destruction of the drop, where it defines a unique real function. A special property is assumed for some continuous functions, where the function’s first derivative and first integral combine together to a nullity at all points. Approximate reverse synthesis of such a function resulted in a special waveform named the dying-surge. Extending the proposed concept to general continuous real functions resulted in the synthesis of the corresponding function’s Dying-surge model. The Riemann zeta function associated with the water droplet can also be modeled as a dying–surge. The Dying- surge model corresponds to an electrical squeezing or compression of a waveform, which was originally defined over infinite arguments, squeezed to a finite number of values for arguments placed very close together with defined final and penultimate values. Synthesized results using simulation software are also presented, along with the analysis. The presence of surges in electrical circuits will correspond to electrical compression of some unknown continuous, real current or voltage function and the method can be used to estimate the original unknown function.Keywords

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Flying Capacitor Voltage Imbalance Protection in Multilevel Bidirectional Inverters during Surge

Beinarys¹,

O’Driscoll²,

Vu³

2023

2023 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Surge immunity test analysis for modern switching mode power supplies

Cited by 10 publications

References 5 publications

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Riemann Zeta Based Surge Modelling of Continuous Real Functions in Electrical Circuits

Flying Capacitor Voltage Imbalance Protection in Multilevel Bidirectional Inverters during Surge

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