Analysis Effect of Loading on the DGA Results of the UAT 2A Transformer PLTU Paiton 1&2 for Optimizing Self-Use
DOI:
10.29303/jppipa.v9i5.3379Published:
2023-05-31Issue:
Vol. 9 No. 5 (2023): MayKeywords:
DGA (Dissolved Gas Analysis) , Electrical Discharge, Energy Thermal Fault, LED lights, UAT 2A transformerResearch Articles
Downloads
How to Cite
Downloads
Metrics
Abstract
In this study, the analysis of the effect of loading on the DGA results of the Paiton UAT 2A transformer units 1 and 2 was carried out using the DGA (Dissolved Gas Analysis) test tool with the X-DGA kelman tool to determine the gas content contained in oil or oil. The UAT 2A transformer is a type of oil-cooled distribution transformer that uses the Nytro Libra oil type. The oil in the UAT 2A transformer is useful for insulating and cooling media so that the UAT 2A transformer does not get hot. In the oil content there is a gas content that causes transformer failure. Gas failure is called gas fault which results in thermal and electrical failure. The results of the DGA (Dissolved Gas Analysis) test analysis show that loading greatly influences the DGA test results because there are contents that are indicated to experience Low Energy Electrical Discharge, Hight Energy Electrical Discharge and Thermal Fault, namely H2, CH4, C2H4, C2H6, C2H2, CO, CO2, and H2O continue to increase due to Thermal Fault
References
Abdullah, M. (2015). Metode penelitian kuantitatif. Aswaja pressindo, Yogyakarta. Retrieved from https://idr.uin-antasari.ac.id/5014/
Ali, M. S., Omar, A., Jaafar, A. S. A., Mohamed, S. H., & others. (2023). Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review. Electric Power Systems Research, 216, 109064. https://doi.org/10.1016/j.epsr.2022.109064
Dalila, M. S., Khalid, M. N., & Shah, M. M. (2009). Distribution transformer losses evaluation under non-linear load. In 2009 Australasian Universities Power Engineering Conference, 1–6. Retrieved from https://ieeexplore.ieee.org/abstract/document/5356577
Ermawanto, E., Warsito, A., & Karnoto, K. (2011). Analisa berlangganan listrik antara tegangan menengah (tm) dengan tegangan rendah (tr) dan analisa efisiensi trafo dalam rangka konservasi energi kampus undip tembalang. Jurusan Teknik Elektro Fakultas Teknik Undip. Retrieved from http://eprints.undip.ac.id/25715/l/ML2F001595.pdf
Faiz, J., Ghazizadeh, M., & Oraee, H. (2015). Derating of transformers under non-linear load current and non-sinusoidal voltage--an overview. IET Electric Power Applications, 9(7), 486–495. https://doi.org/10.1049/iet-epa.2014.0377
Furqaranda, R., Bintoro, A., Asri, A., Al-Ani, W. K. A., & Shrestha, A. (2022). Analysis Oil Condition of Transformer PT-8801-A by Using the Method TDCG, Rogers Ratio, Key Gas, and Duval Triangle: A Case Study at PT. Perta Arun Gas. Journal of Renewable Energy, Electrical, and Computer Engineering, 2(2), 47–54. https://doi.org/10.29103/jreece.v2i2.8567
IEEE, std. C. (2009). IEEE Standart Terminology for Power and Distribution Transformes. Institut of Electrical and Electronics Engineers, Inc.
Lubisi, T. B., Jordaan, J. A., Akumu, A. O., & Nnachi, A. F. (2022). Application of Dissolved Gas Analysis for Transformer Condition Assessment Using Computational Intelligence. 2022 30th Southern African Universities Power Engineering Conference (SAUPEC), 1–6. https://doi.org/10.1109/SAUPEC55179.2022.9730777
Malik, H., Sharma, R., & Mishra, S. (2020). Fuzzy reinforcement learning based intelligent classifier for power transformer faults. ISA Transactions, 101, 390–398. https://doi.org/10.1016/j.isatra.2020.01.016
Mamane, L. M., AMOO, A. L., & JIYA, J. D. (2021). Artificial Neural Network Based Fault Diagnostic Tools of Power Transformer in Bauchi 132/33 kV Substation. IRE Journals, 5(5), 146-154. Retrieved from https://www.irejournals.com/formatedpaper/1702978.pdf
Meira, M., Ruschetti, C., Ãlvarez, R., Catalano, L., & Verucchi, C. (2019). Dissolved gas analysis differences between natural esters and mineral oils used in power transformers: a review. IET Generation, Transmission & Distribution, 13(24), 5441–5448. https://doi.org/10.1049/iet-gtd.2018.6318
Mina, M., & Kartika, K. (2023). Monitoring System for Levels of Voltage, Current, Temperature, Methane, and Hydrogen in IoT-Based Distribution Transformers. International Journal of Engineering, Science and Information Technology, 3(1), 22–27. https://doi.org/10.52088/ijesty.v3i1.414
Odongo, G., Musabe, R., & Hanyurwimfura, D. (2021). A multinomial DGA classifier for incipient fault detection in oil-impregnated power transformers. Algorithms, 14(4), 128. https://doi.org/10.3390/a14040128
PLN, R. P. (2018). Rencana Usaha Penyediaan Tenaga Listrik PT Perusahaan Listrik Negara (PERSERO) Tahun 2018 S.D. 2027. PT. PLN Persero.
Putra, M. A. A., Prasojo, R. A., Novfowan, A. D., & Neelmani, N. (2023). Dissolved Gas Analysis of Generator Step Up Transformer in Grati Power Plant Using Random Forest Based Method. Journal of Telecommunication Network (Jurnal Jaringan Telekomunikasi), 13(1), 51–58. https://doi.org/10.33795/jartel.v13i1.583
Qian, Y. H., Huang, Y. Bin, Fu, Q., Wu, H. Y., & Zhong, Z. S. (2012). Comparative Study on the Impurities Content of Hydrogenated Transformer Oil under Static Condition. Advanced Materials Research, 421, 129–135. https://doi.org/10.4028/www.scientific.net/AMR.421.129
Raco, M. E. (2010). Metode penelltlan kualltatlf jenis, karakteristik, dan keunggulannya. Grasindo.
Rizki, Y. Y., & Ervianto, E. (2019). Perkiraan umur transformator berdasarkan pengaruh pembebanan dan temperatur lingkungan menggunakan metode trend linear. Jurnal Online Mahasiswa (JOM) Bidang Teknik Dan Sains, 6, 1–8. Retrieved from https://jom.unri.ac.id/index.php/JOMFTEKNIK/article/view/24838
Sahin, A. Z., Ismaila, K. G., Yilbas, B. S., & Al-Sharafi, A. (2020). A review on the performance of photovoltaic/thermoelectric hybrid generators. International Journal of Energy Research, 44(5), 3365–3394. https://doi.org/10.1002/er.5139
Sarma, G. S., Reddy, R., Nirgude, P. M., & Naidu, V. (2021). A Review on Real Time Fault Detection and Intelligent Health Monitoring Techniques of Transformer. 11(10). https://doi.org/10.9790/9622-1110034047
Sulistyo, T. (2016). Pengkajian Kondisi Transformator Bht03 Pada Rsg-Gas Menggunakan Metoda Dissolved Gas Analysis. SIGMA EPSILON-Buletin Ilmiah Teknologi Keselamatan Reaktor Nuklir, 18(3–4). https://doi.org/10.17146/sigma.2014.18.3-4.2890
Sun, H.-C., Huang, Y.-C., & Huang, C.-M. (2012). A review of dissolved gas analysis in power transformers. Energy Procedia, 14, 1220–1225. https://doi.org/10.1016/j.egypro.2011.12.1079
Sutjipto, R. (2020). Studi pengaruh pembebanan terhadap perubahan suhu dan perubahan rugi-rugi daya pada transformator. JURNAL ELTEK, 18(1), 62–71. Retrieved from https://pdfs.semanticscholar.org/6907/6c7baacdbcbdfc0533f956acbc6d38193920.pdf
Tiasmoro, I. B., Topan, P. A., & others. (2021). Analisa Pengaruh Pembebanan Terhadap Efisiensi dan Susut Umur Trafo Step UP 6kV/70kV di PLTU Sumbawa Barat Unit 1 dan 2 2x7 MW PR. PLN (Persero) UPK Tambora. Jurnal TAMBORA, 5(2), 1–7. https://doi.org/10.36761/jt.v5i2.1099
Upadhyay, C. (2012). A study of life time management of Power Transformers at E. ON’s Öresundsverket, Malmö. CODEN: LUTEDX/TEIE. Retrieved from https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=3731802&fileOId=3731803
Yazdani-Asrami, M., Gholamian, S. A., Mirimani, S. M., & Adabi, J. (2021). Influence of field-dependent critical current on harmonic AC loss analysis in HTS coils for superconducting transformers supplying non-linear loads. Cryogenics, 113, 103234. https://doi.org/10.1016/j.cryogenics.2020.103234
Zulmi, M. R., Suanggana, D., & Kurniawati, D. M. (2021). Analisis Efisiensi Energi, Efisiensi Eksergi, dan Laju Kerusakan Eksergi Pada Komponen Mesin PLTU Muara Jawa Dengan Variasi Pembebanan. Media Mesin: Majalah Teknik Mesin, 22(1), 1–12. https://doi.org/10.23917/mesin.v22i1.11832
Author Biographies
Muhammad Hasan Basri, Universitas Nurul Jadid
Muhammad Faisol, Universitas Nurul Jadid
License
Copyright (c) 2023 Muhammad Hasan Basri, Muhammad Faisol
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).