scholarly journals SISTEM MAINTENANCE TRANSFORMATOR 60 MVA PADA ELECTRIC ARC FURNACE (EAF) 7 SLAB STEEL PLANT 1

2020 ◽  
Vol 5 (2) ◽  
pp. 75
Author(s):  
Irwan Anto Mina

<p><strong>Abstract.</strong></p><p>Preventive Maintenance is every activity undertaken to keep each component tool running in accordance with the expected conditions, through inspection, detection and prevention of total damage that is sudden (breakdown). Breakdown voltage or diode voltage drop is the minimum voltage value at the diode to be able to flow electric current. The research method used is qualitative research with a descriptive approach. In this study, the authors conducted data collection through: (1) direct observation (2) Retrieval of data using the Magger tool (3) literature study. The results of the study stated that in the examination and analysis of dissolved gas content (Dissolved gas analysis, DGA), to prevent the occurrence of: (partial) discharges, thermal failure (thermal faults), deterioration/deterioration of paper insulation/lamination. Insulation Resistance is a test to see the strength of insulation against physical and chemical damage. Damage that often occurs in the EAF 7 transformer is a breakdown voltage and an overheat transformer because the room temperature is not cold due to the transformer close to the cooking place or iron melting.</p><p> </p><p><strong>Keywords.</strong> BDV, DGA, insulation resistance, maintenance, transformer</p><p><strong> </strong></p>

2020 ◽  
Vol 10 (13) ◽  
pp. 4440 ◽  
Author(s):  
Yongxin Liu ◽  
Bin Song ◽  
Linong Wang ◽  
Jiachen Gao ◽  
Rihong Xu

The transformers work in a complex environment, which makes them prone to failure. Dissolved gas analysis (DGA) is one of the most important methods for oil-immersed transformers’ internal insulation fault diagnosis. In view of the high correlation of the same fault data of transformers, this paper proposes a new method for transformers’ fault diagnosis based on correlation coefficient density clustering, which uses density clustering to extrapolate the correlation coefficient of DGA data. Firstly, we calculated the correlation coefficient of dissolved gas content in the fault transformers oil and enlarged the correlation of the same fault category by introducing the amplification coefficient, and finally we used the density clustering method to cluster diagnosis. The experimental results show that the accuracy of clustering is improved by 32.7% compared with the direct clustering judgment without using correlation coefficient, which can effectively cluster different types of transformers fault modes. This method provides a new idea for transformers fault identification, and has practical application value.


Author(s):  
Osama E. Gouda ◽  
Saber M. Saleh ◽  
Salah Hamdy El-hoshy

Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system oil and/or paper insulation. Dissolved gas-in-oil analysis (DGA) is one of the most powerfull techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer data has been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle techniques. This paper introduce a MATLAB program to help in unification DGA interpretation techniques to investigate the accuracy of these techniques in interpreting the transformer condition and to provide the best suggestion for the type of the fault within the transformer based on fault percentage. It proposes a proper maintenance action based on DGA results which is useful for planning an appropriate maintenance strategy to keep the power transformer in acceptable condition. The evaluation is carried out on DGA data obtained from 352 oil samples has been summarized  into 46 samples that have been collected from a 38 different transformers of different rating and different life span.


Author(s):  
Suthat Suksagoolpanya ◽  
Korraya Jongvilaikasem ◽  
Kitipod Jariyanurat ◽  
Thanpilin Banthoengjai ◽  
Siwakorn Jeenmuang ◽  
...  

Teknik ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 63
Author(s):  
Abdul Syakur ◽  
Wildan Lazuardi

Transformator merupakan peralatan utama dalam pemasokan listrik dari unit pembangkitan menuju konsumen. Oleh karena itu, perlu perhatian khusus dalam pemeliharaan kinerja transformator agar tidak terjadi kerusakan pada transformator. Selama trasformator beroperasi maka minyak transformator akan mengalami pembebanan berupa beban elektris dan termal yang dapat menyebabkan timbulnya gas-gas hidrokarbon terlarut pada minyak yang berpotensi menyebabkan gagalnya minyak sebagai fungsi isolasi yang baik. Karenanya diperlukan pemantauan khusus terhadap gas-gas tersebut. Salah satu cara untuk menganalisis gas terlarut dalam minyak adalah dengan menggunakan metode Dissolved Gas Analysis (DGA). DGA akan mengekstraksi gas tersebut untuk diketahui indikasi gangguan berdasarkan hasil interpretasi data gas-gas hidrokarbon terlarut yang dilakukan. Metode ini juga mampu memprediksi kerusakan jangka panjang, sehingga kerusakan pada transformator dapat dicegah. Hasil analisis DGA pada transformator menghasilkan indikasi berupa Discharge of thermal fault yang didapat dari hasil intrepetasi data menggunakan metode Rasio Roger dan Segitiga Duval. Selain itu, hasil pengujian breakdown voltage menunjukkan kondisi minyak yang masih baik yaitu kekuatan dielektrik > 50 kv dan pengukuran water content juga masih baik yaitu sebesar < 25 ppm.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2350
Author(s):  
Michel Duval ◽  
Constantin Ene

Several high voltage condenser type OIP (oil impregnated paper) bushings used in the electrical industry are filled with dodecylbenzene, because of its ability to absorb hydrogen formed by corona partial discharges in the thick paper insulation of these pieces of equipment. Some of them form large quantities of ethane, raising the concern of overheating faults in their paper insulation, which may be risky for their safe operation in service. The article presents dissolved gas analysis results of oil samples taken from the bushings with high ethane formation, together with results of laboratory tests of stray gassing of dodecylbenzene performed according to CIGRE procedure. By using Duval Pentagon 2 it is possible to compare patterns in the laboratory and in bushings and evaluate the temperature range of possible defects. Stray gassing/overheating of dodecylbenzene in bushings within the stray gassing temperature range and whatever the possible other causes, is not a concern for their safe operation according to observations published by CIGRE.


2015 ◽  
Vol 16 (3) ◽  
pp. 409
Author(s):  
Osama E. Gouda ◽  
Saber M. Saleh ◽  
Salah Hamdy EL-Hoshy

Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system oil and/or paper insulation. Dissolved gas-in-oil analysis (DGA) is one of the most powerfull techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer data has been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle techniques. This paper introduce a MATLAB program to help in unification DGA interpretation techniques to investigate the accuracy of these techniques in interpreting the transformer condition and to provide the best suggestion for the type of the fault within the transformer based on fault percentage. It proposes a proper maintenance action based on DGA results which is useful for planning an appropriate maintenance strategy to keep the power transformer in acceptable condition. The evaluation is carried out on DGA data obtained from 352 oil samples has been summarized into 46 samples that have been collected from a 38 different transformers of different rating and different life span.


2022 ◽  
Vol 1048 ◽  
pp. 89-100
Author(s):  
S. Tamil Selvi ◽  
Madhusudan Saranathan ◽  
Pa Hari Krishna Achuthan ◽  
R. Abhishek ◽  
Adhitya Ravi

An electricity board acquires several transformers from a manufacturer in a belief that their advertised lifetime of the transformer thus purchased is true. However, they don’t take in the case of negligence in maintenance of transformer, which is a strenuous job. The advertised thirty-year lifetime is reduced to a mere two-year lifetime, mainly because of the degradation of the insulation medium (Transformer oil), thus increasing losses in the transformer and decreasing its efficiency. The degradation of transformer oil leads to safety hazards like transformer bursting, consequently forcing the electricity board to replace the transformer, thus incurring huge amount of costs. This is the most relatable problem faced by the electricity board in every state. This research work aims at listing out various properties of transformer oil and ascertaining major impurities in a transformer oil by testing it using various techniques. The proposed work deals with long term observation and analysis of transformer oil to determine its degradation rate. Breakdown voltage, Moisture content, Resistivity, Acidity, Furan Analysis and Dissolved Gas Analysis were done using Mushroom electrodes, Karl Fischer Titration test, Tan delta test, Potassium Hydroxide Titration, High performance liquid chromatography, and dissolved gas analyzer respectively. The results reveal that, deviation of Breakdown Voltage, Moisture content, and 2-Furaldehyde (1197ppb) from the permissible limits can indicate the aging of the transformer.


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