Aging Assessment of Power Transformer Using Multi-parameters

Li, Yuan; Tang, Mingjie; Wu, Feng-Jiao; Zhang, Guanjun; Wang, Shuhong; Suwarno, Suwarno

doi:10.15676/ijeei.2013.5.1.4

Cited by 24 publications

(7 citation statements)

References 9 publications

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“…Dissolved gasses in oil should be tested to interpret how far ageing ruins the whole insulation system. Dissolved Gas Analysis (DGA) of insulating oil is universally used and considered as an important indicator of a transformer's overall condition all over the Study on Correlation Among Oil Dielectric Characteristics world [28]. Analysis of the type and concentration of gas contained in the oil sample is done with Gas Chromatograph HP 6890 as shown in Figure 3.…”

Section: Dissolved Gassesmentioning

confidence: 99%

Study on Correlation Among Oil Dielectric Characteristics, Dissolved Gases, and Operating Life of 150 kV Power Transformer

Diwyacitta¹,

Prasojo²,

Suwarno³

2017

ijeei

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Power transformer undergo aging overtime that degrades its insulation system. Oil-immersed paper insulation degradation in transformer can be assessed through the change in oil characteristics and the dissolved gases. Data related to these parameters are abundant, but study on correlation among these parameters and the operating time of power transformer is still limited. This paper presents statistical insights into aging of transformer insulation system through oil characteristics, dissolved gases and the operating time of transformer. As much as 219 in service 150 kV transformers population testing data were included in this study. The data was analyzed using linear regression correlation analysis to Figureure out the dependency of each parameters. Statistical correlation between each properties of oil insulation, dissolved gases and operating time were carried out. There are some oil properties that have correlation with operating time, which are color scale, IFT and acidity. Moreover, color scale, IFT and acidity shows dependency among them. IFT tends to gradually decrease while acidity increases as operating time trend rises. On the other hand, operating time are also highly correlated with CO and CO2, which are commonly known as the main product of paper insulation degradation in transformers. Correlation among prior correlated parameters found that CO is strongly correlated with color and IFT. Subsequently, a high correlation coefficient of parameter to operating time could be interpreted that the ageing process happens during the life of a transformer changes certain parameters which these changes should be noticed for better decision making whether the transformer still feasible to be used in the system with certain maintenance or should be replaced.

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Section: Dissolved Gassesmentioning

confidence: 99%

Study on Correlation Among Oil Dielectric Characteristics, Dissolved Gases, and Operating Life of 150 kV Power Transformer

Diwyacitta¹,

Prasojo²,

Suwarno³

2017

ijeei

Self Cite

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“…Untuk pengambilan keputusan dalam manajemen aset, biasanya digunakan sejumlah parameter yang meliputi analisis teknis dan ekonomis. Dalam hal parameter teknis, nilai kandungan gas yang terlarut dalam minyak telah digunakan secara luas [3][4][5][6][7].…”

Section: Klasifikasi Prioritas Pemeliharaanunclassified

Manajemen Pemeliharaan Transformator Tegangan Menengah Berbasis Hasil Analisis Gas Terlarut

Kumara¹

2020

Preprint

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Sebuah pendekatan sederhana untuk menentukan prioritas pemeliharaan transformator dibahas dalam paper ini. Pendekatan yang digunakan mengadopsimetode pemberian bobot dan skor sederhana dengan melihat hasil analisis gas terlarut dan hasil uji tegangan tembus. Selain itu, pembebanan dan suhu operasitransformator juga digunakan sebagai parameter untuk penentuan prioritas perawatan. Metode ini telah diaplikasikan dalam manajemen perawatan 29 buahtranformator tegangan menengah yang menyuplai sebuah bandara internasional. Hasil penelitian menunjukkan bahwa pendekatan sederhana ini sangat berguna dalammembantu para teknisi untuk menentukan jadwal pemeliharaan transformator-transformator tersebut.

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“…-Dissolved Gas Analysis DGA of insulating oil is universally used and considered as an important indicator of transformer's overall condition all over the world [23]. The dissolved gasses were measured and interpreted based on [24], consists of Hydrogen (H2), Methane (CH4), Carbon Monoxide (CO), Carbon Dioxide (CO2), Ethylene (C2H4), Ethane (C2H6), Acetylene (C2H2) and Total Dissolved Combustible Gas (TDCG).…”

Section: B Attributes Observedmentioning

confidence: 99%

Power Transformer Paper Insulation Assessment based on Oil Measurement Data using SVM-Classifier

Prasojo¹,

Suwarno²

2018

IJEEI

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Oil immersed paper insulation condition is a crucial aspect of power transformer's life condition diagnostics. The measurements testing database collected over the years made it possible for researchers to implement classification analysis to in-service power transformer. In order to generate a reliable model, more studies related to machine learning implementation to power transformer assessment need to be done. In this article, the objective of the study is to develop reliable new approach in transformer oil-immersed paper insulation condition assessment based on SVM-classifier model using its oil measurements. The measurements data (dielectric characteristics, dissolved gas analysis, and furanic compounds) of 149 transformers with primary voltage of 150 kV had been gathered and analyzed. The algorithm employed for developing classification model is Support Vector Machine (SVM). The model had been trained and tested using different datasets. Several different models have been created and the best has been chosen, resulting in 90.63% accuracy in predicting the oil-immersed paper insulation condition. Further implementation was executed to classify oil-paper condition of 19 transformers which Furan data is not available. The classification results were combined, reviewed, and compared to conventional assessment methods and standards. The comparation confirmed that the model developed has the ability to do classification of current oil-paper condition for the transformer population observed, based on Dissolved Gasses and Dielectric Characteristics.

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Aging Assessment of Power Transformer Using Multi-parameters

Cited by 24 publications

References 9 publications

Study on Correlation Among Oil Dielectric Characteristics, Dissolved Gases, and Operating Life of 150 kV Power Transformer

Study on Correlation Among Oil Dielectric Characteristics, Dissolved Gases, and Operating Life of 150 kV Power Transformer

Manajemen Pemeliharaan Transformator Tegangan Menengah Berbasis Hasil Analisis Gas Terlarut

Power Transformer Paper Insulation Assessment based on Oil Measurement Data using SVM-Classifier

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