Estimation of parameters for modeling of saturation effects for a transformer model for a real-time digital simulator

Peacock, Beau L.; Steurer, M.; Langston, James; Baldwin, T.L.; Henry, S.

doi:10.1109/ssst.2009.4806811

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…In ref. [8], a parameter estimation approach to model the saturation characteristics of the transformer saturation model based on experimental data is presented. Such technique can also be extended to include hysteresis and magnetization loss.…”

Section: Modelling the Saturable Magnetizing Branchmentioning

confidence: 99%

“…Apart from the case studies provided in this paper, readers can also find some practical implementation and real‐time simulation examples in corresponding papers. For example, experimental validation of the ideal transformer model [32], Lookup and interpolation model [6, 8], UMEC [6, 18, 19], Real‐time finite element transformer models [26] have been discussed in the corresponding references. A summary of these key information for selecting the appropriate model is provided in Table 5.…”

Section: Application Guidelinementioning

confidence: 99%

See 1 more Smart Citation

A review of modelling techniques of power transformers for digital real‐time simulation

Islam

Musil

Shohan

et al. 2022

The Journal of Engineering

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This task‐force paper documents and summarizes the models of power transformers that have been proposed, used, and validated in the exercise of digital real‐time simulation. Power transformer is one of the most important equipment in power systems, and its modelling for electromagnetic transient simulation has evolved over time, especially in the area of real‐time simulation. The focus of the paper is to document and archive the models that have been well accepted and used for transient analysis in digital real‐time simulation so that readers can use it as a master document for transformer modelling in real‐time simulation studies. It includes both conventional and specialized models of power transformers that have been broadly acknowledged by the power engineering community. The models provided here come with detailed mathematical representation and their implementation techniques. A comparative study is also performed to illustrate the differences in their performances. In the end, an application guideline has been provided to guide the readers to select the appropriate model for their study.

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Section: Modelling the Saturable Magnetizing Branchmentioning

confidence: 99%

Section: Application Guidelinementioning

confidence: 99%

A review of modelling techniques of power transformers for digital real‐time simulation

Islam

Musil

Shohan

et al. 2022

The Journal of Engineering

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“…The average winding temperature rise under its field operation conditions and rise in winding temperature has been determined from the estimated values of winding resistance [7]. The parameters of a saturation model of transformer are also estimated by using the data from transformer inrush tests and steady state operation [8]. An alternative approach to conventional open and shortcircuit test for determining the parameters of N-windings transformer operating at power frequency on an on-line mode.…”

Section: Introductionmentioning

confidence: 99%

Bacterial Foraging Algorithm based Parameter Estimation of Three WINDING Transformer

Subramanian¹,

Padma²

2011

EPE

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Transformers are one of the main components of any power system. An accurate estimation of system be-haviour, including load flow studies, protection, and safe control of the system calls for an accurate equiva-lent circuit parameters of all system components such as generators, transformers, etc. This paper presents a methodology to estimate the equivalent circuit parameters of the Three Winding Transformer (TWT) using Bacterial Foraging Algorithm (BFA). The estimation procedure based on load test data at one particular op-erating point namely supply voltage, load currents, input power. The performance characteristics, such as efficiency and voltage regulation are considered along with the name plate data in order to minimize the er-ror between the estimated and measured data. The estimation procedure is demonstrated with a sample three winding transformer and the results are compared against the directly measured performance of TWT and genetic algorithm optimization results. The simulation results show the ability of the proposed technique to capture the true values of the machine parameters and the superiority of the results obtained using the bacte-rial foraging algorithm

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“…The Park model electric parameters of an induction machine [6] are used in control techniques for variable speed drives, have been estimated by GA. The parameters of a saturation model of transformer are also estimated by using the data from transformer inrush tests and steady state operation [7]. An alternative approach to conventional open and short-circuit test for determining the parameters of N-windings transformer operating at power frequency on an on-line mode.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Single Phase Core Type Transformer Using Bacterial Foraging Algorithm

Padma¹,

Subramanian²

2010

ENG

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The electrical circuit equivalents of magnetic device structures such as transformer require an exact knowledge of its parameters. Efficient parameter estimation technique is essential to obtain the equivalent circuit parameters of transformer because the parameters are used to manipulate parasitic elements and to obtain the enhanced circuit performance. In this paper, Bacterial Foraging Algorithm (BFA) has been applied to estimate the equivalent circuit parameters of single phase core type transformer. The information of open Circuit (OC) and Short Circuit (SC) tests has been utilized in BFA algorithm. The effectiveness of the proposed approach has been tested with a sample transformer and the simulation results are compared against the conventional method. The numerical results show that the proposed approach outperforms the conventional method in the aspects of solution quality

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Estimation of parameters for modeling of saturation effects for a transformer model for a real-time digital simulator

Cited by 3 publications

References 2 publications

A review of modelling techniques of power transformers for digital real‐time simulation

A review of modelling techniques of power transformers for digital real‐time simulation

Bacterial Foraging Algorithm based Parameter Estimation of Three WINDING Transformer

Parameter Estimation of Single Phase Core Type Transformer Using Bacterial Foraging Algorithm

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