Analytical calculation of transformer parameters by S-parameters

Lou, Jianquan; Bhobe, Alpesh; Shu, Yingchun; Yu, Jinghan

doi:10.1109/isemc.2018.8394001

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…A widely used high-frequency equivalent circuit of two winding ferrite transformer is shown in Figure 1. In order to facilitate the analysis, the model is divided into four blocks [8]: P: Primary block T: Ideal transformer block M: Mutual block S: Secondary block. All the parameter including basic and parasitic parameters are illustrated in Table 1.…”

Section: High Frequency Model Of Power Transformer For Sfra Testmentioning

confidence: 99%

Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test

Ibrahim¹,

Korany²,

Saleh³

2021

EJEE

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The electric power transformer is an essential part of an electrical power system since it is used to step up or down voltage levels to maintain the system performance as well as possible. Frequency response analysis (FRA) is one of the most widely used techniques for detecting various types of mechanical damage in transformers. The equivalent circuit of the transformer will be represented by a complex network of R, L, and C elements in the FRA technique. For transformer faults diagnosis, various calculation techniques and diagnostic techniques may be used, such as acoustic emission analysis, thermal images of electromagnetic radiation, transformer temperature, and humidity analysis. SFRA test is one of these techniques that could be used to determine the fault type based on its response over a wide frequency range. The main challenge of the SFRA test is that the functional interpretation requirement for this test is not universally accepted Also statistical features are defined for this SFRA response to be used in fault detection and classification. In this paper, the effect of the transformer rating on the fault diagnosis techniques using SFRA is tested. Also, the effect of the transformer VA rating on the statistical parameters and the classification rules of fault diagnosis is discussed. Finally, the features used in fault diagnosis are ranked according to its independence of the transformer rating resulting in a more accurate matching fault diagnosis technique.

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Section: High Frequency Model Of Power Transformer For Sfra Testmentioning

confidence: 99%

Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test

Ibrahim¹,

Korany²,

Saleh³

2021

EJEE

View full text Add to dashboard Cite

show abstract

Systematic Design of On-Chip Matching Networks for D-band Circuits

Nguyen

Tang

Khalaf

et al. 2019

2019 17th IEEE International New Circuits and Systems Conference (NEWCAS)

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Assessment of Energy Arbitrage Using Energy Storage Systems: A Wind Park’s Perspective

et al. 2021

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With the growing application of green energy, the importance of effectively handling the volatile nature of these energy sources is also growing in order to ensure economic and operational viability. Accordingly, the main contribution of this work is to evaluate the revenue potential for wind parks with integrated storage systems in the day-ahead electricity markets using genetic algorithm. It is achieved by the concept of flexible charging–discharging of the Energy Storage System (ESS), taking advantage of the widespread electricity prices that are predicted using a feedforward-neural-network-based forecasting algorithm. In addition, the reactive power restrictions posed by grid code that are to be followed by the wind park are also considered as one of the constraints. Moreover, the profit obtained with a Battery Energy Storage System (BESS) is compared with that of a Thermal Energy Storage System (TESS). The proposed method gave more profitable results when utilizing BESS for energy arbitrage in day-ahead electricity markets than with TESS. Moreover, the availability of ESS at wind park has reduced the wind power curtailment.

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Analytical calculation of transformer parameters by S-parameters

Cited by 4 publications

References 6 publications

Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test

Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test

Systematic Design of On-Chip Matching Networks for D-band Circuits

Assessment of Energy Arbitrage Using Energy Storage Systems: A Wind Park’s Perspective

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