Rafiq Fadli, - and Wasimudin Surya Saputra, - (2025) ANALISIS KINERJA DAN PREDIKSI UMUR LIGHTNING ARRESTER 150 KV BERDASARKAN ARUS BOCOR PADA BAY TRAFO 3 GARDU INDUK NEW RANCAKASUMBA. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Sebagai pusat penghubung antara sistem transmisi dan sistem distribusi, gardu induk dilengkapi dengan berbagai sistem proteksi untuk melindungi peralatan dari berbagai gangguan. Lightning arrester sebagai sistem proteksi dari surja hubung atau surja petir pada gardu induk perlu diperhatikan kondisinya karena kinerja lightning arrester dapat menurun disebabkan oleh berbagai faktor seperti kondisi lingkungan, polusi, cuaca dan gangguan alam, serta kesalahan dari manusia seiring berjalannya waktu. Penelitian ini bertujuan untuk mengetahui kondisi dari lightning arrester dan memperkirakan umur optimumnya berdasarkan nilai arus bocor pengujian, penelitian dilakukan pada lightning arrester Bay Trafo 3 Gardu Induk New Rancaksumba. Metode penelitian yang digunakan adalah analisis hasil pengujian Leakage Current Monitor (LCM), Tan Delta, dan tahanan isolasi yang dibandingkan dengan standar yang digunakan pada SPLN 2014. Selain itu, analisis regresi linear menggunakan data hasil pengujian LCM tahun 2019–2025 juga dilakukan untuk memprediksi umur optimumnya. Analisis kinerja menunjukkan hasil bahwa secara umum lightning arrester dalam kondisi baik, namun fasa R memiliki hasil pengujian yang memerlukan perhatian lebih dengan hasil nilai arus bocor korektif pengujian LCM terbesar yaitu 100 µA yang mana mendekati ambang batas 150 µA. Pengujian tan delta fasa R juga mengalami peningkatan nilai arus bocor dan watt loss paling besar yaitu masing-masing 0,4176 mA dan 0,0378 watt. Hal tersebut mendukung hasil prediksi umur di mana prediksi umur untuk fasa R memiliki nilai paling rendah yaitu maksimal 20 tahun. As an intermediary between the transmission and distribution systems, a substation is equipped with various protection systems to safeguard equipment from potential disturbances. Lightning arresters, which serve as protection against switching surges or lightning surges in substations, must be closely monitored, as their performance may degrade over time due to several factors such as environmental conditions, pollution, weather, natural disturbances, and human error. This study aims to assess the condition of the lightning arrester and estimate its optimal service life based on leakage current test values. The research was conducted on the lightning arrester at the Transformer Bay 3 of New Rancaksumba Substation. The research method used includes analysis of test results from the Leakage Current Monitor (LCM), Tan Delta, and insulation resistance tests, which are compared to the standards set by SPLN 2014. Additionally, a linear regression analysis was performed using LCM test data from 2019 to 2025 to predict its optimal lifespan. The performance analysis generally indicates that the lightning arrester is in good condition; however, the R phase requires particular attention. The LCM test for this phase showed the highest corrective leakage current value at 100 µA, approaching the threshold limit of 150 µA. Furthermore, the Tan Delta test for the R phase also exhibited the highest increase in leakage current and watt loss, at 0.4176 mA and 0.0378 watts respectively. These findings support the lifespan prediction, which estimates the R phase to have the shortest remaining life, with a maximum of 20 years.
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| Item Type: | Thesis (S1) |
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| Additional Information: | ID SINTA Dosen Pembimbing: Wasimudin Surya Saputra: 5978996 |
| Uncontrolled Keywords: | Lightning Arrester, Arus Bocor, Prediksi Umur, LCM, Gardu Induk Lightning Arrester, Leakage Current, LCM, Life Prediction, Substation |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Pendidikan Teknik dan Industri > Jurusan Pendidikan Teknik Elektro > Program Studi Teknik Tenaga Elektrik |
| Depositing User: | Rafiq Fadli |
| Date Deposited: | 24 Oct 2025 07:00 |
| Last Modified: | 24 Oct 2025 07:00 |
| URI: | http://repository.upi.edu/id/eprint/144039 |
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