Stability of fiber Bragg grating sensors for integration into high-voltage transformers for online monitoring

Teunissen, Joerg; Merte, Ralf; Peier, D.

doi:10.1109/ofs.2002.1000770

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…It should be mentioned that a hot-spot temperature of 120ºC, which is admissible according to the standard IEC 60354, causes an ageing rate factor of 12, and thus its obvious that continuous transformer monitoring of ageing is highly recommended. It has been recently demonstrated [6], that the transformer oil has no characteristic influence on the mechanical strength of the used optical fibre type and the thermal induced decrease of the refractive index variation in the FBG does not prevent a signal processing with excellent SNR.…”

Section: Resultsmentioning

confidence: 99%

Multi-point fibre optic hot-spot network integrated into a high power transformer

Ribeiro¹,

Eira

Sousa³

et al. 2007

Third European Workshop on Optical Fibre Sensors

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A multi-point fibre optic temperature sensor network integrated inside a power transformer for continuous monitoring of hot-spots on windings, cellulose insulations and oil, is demonstrated and tested. The temperature sensors are based on proprietary encapsulated fibre Bragg grating (FBG) sensors and the optical interrogation unit uses a special designed narrowband high power broadband fibre source. The fibre optic sensing network is integrated into a 440 MVA power transformer having 12 temperature sensing points, distributed over several physical locations inside de transformer (windings, cellulose insulators, magnetic circuit and cooling oil entrance and exit).

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Section: Resultsmentioning

confidence: 99%

Multi-point fibre optic hot-spot network integrated into a high power transformer

Ribeiro¹,

Eira

Sousa³

et al. 2007

Third European Workshop on Optical Fibre Sensors

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“…Long‐time stability of the fibre and the FBGs are critical for field applications. J. Teunissen et al [104] investigated the long‐term stability of FBG in transformer oil. The result demonstrated that the mechanical strength and the refractive index of the optical fibre do not decrease in high temperature oil.…”

Section: Optical Temperature Monitoringmentioning

confidence: 99%

“…Long-time stability of the fibre and the FBGs are critical for field applications. J. Teunissen et al [104] investigated the long-term stability of FBG in transformer oil. The result F I G U R E 9 Schematic diagram of the minimum limit of C 2 H 2 detection and response time for different types of methods.…”

Section: Temperature Sensing Based On Fbgmentioning

confidence: 99%

Optical sensors for power transformer monitoring: A review

et al. 2020

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Power transformers play a vital role in power transmission systems from the energy source to the consumption center. In situ diagnostics of the performance of power transformers provides a variety of benefits to ensure reliable electricity transmission. Immunity to electromagnetic interference, high sensitivity, high insulation as well as small dimensions of optical sensing make it very attractive for applications in power transformer monitoring. This paper presents a critical review of various diagnostic methods for power transformers such as partial discharge, dissolved gases, temperature and other important sensing, and optical detection. The advantages and disadvantages of different monitoring methods are carefully discussed and assessed. Finally, the existing technical barriers and future prospects of optical monitoring methods for power transformers are presented.

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“…There are many ways to detect HST. Optical fiber temperature sensors can be installed inside the transformer to measure the HST directly [2]- [4], however, due to the high cost of the optical fiber instrument, it cannot fit the demand of large-scale application, and it cannot be applied to the inservice transformer. Besides, because of the uncertainty of the specific hot spot location, it is hard to get the accurate temperature of the hot spot.…”

Section: Introductionmentioning

confidence: 99%

A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer

Deng

Ruan

Quan³

et al. 2019

IEEE Access

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This paper proposed a prediction method to predict a 10-kV oil-immersed transformer hot spot temperature (HST). A set of feature temperature points on the transformer iron shell is proposed based on fluid-thermal field calculation. These feature points, as well as transformer load rate, are taken as the input parameters of a machine learning model established by support vector regression (SVR), thus to describe their relationships with the HST. This model is trained by nine samples selected by L 9 (3 4 ) orthogonal array and applied to predict the HST of 20 test samples. The training samples are all obtained by simulation, and the test samples have consisted of simulation and transformer temperature rise test results. With effective parameter optimization of the SVR model, the predicted results agree well with the experimental and simulation data, the mean absolute percentage error (MAPE) is 1.55%, and the maximum temperature difference is less than 3 • C. The results validated the validity and the generalization performance of the prediction model. INDEX TERMSHot spot temperature, oil-immersed transformer, support vector regression, multi-physical field analysis.

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Stability of fiber Bragg grating sensors for integration into high-voltage transformers for online monitoring

Cited by 10 publications

References 2 publications

Multi-point fibre optic hot-spot network integrated into a high power transformer

Multi-point fibre optic hot-spot network integrated into a high power transformer

Optical sensors for power transformer monitoring: A review

A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer

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