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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Journal of Social Research Jurnal Teknik Indonesia
Ridha Yasser
Institut Teknologi PLN
Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

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Optimasi Pemasangan Transmission Line Arrester (TLA) untuk Mengurangi Gangguan Petir pada Sutt 150 Kv Wotu–Masamba Menggunakan Genetic Algorithm Stefanus Arno; Ridha Yasser; Rummi Sirait
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i6.64549

Abstract

Gangguan petir merupakan salah satu penyebab utama menurunnya keandalan sistem transmisi tenaga listrik, khususnya pada Saluran Udara Tegangan Tinggi (SUTT) 150 kV. Jalur transmisi Wotu–Masamba merupakan salah satu jalur dengan tingkat gangguan petir tertinggi di Sulawesi, dengan tingkat kerapatan sambaran petir mencapai 1,5031 sambaran/km²/tahun dan arus puncak melebihi 230 kA. Penelitian ini mengembangkan formula Risk Score berbobot multi-parameter yang menggabungkan resistansi pentanahan (bobot wR = 0,4), frekuensi sambaran petir (bobot wS = 0,35), dan kerapatan sambaran petir (bobot wK = 0,25) sebagai basis optimasi Genetic Algorithm. Konfigurasi GA menggunakan populasi 100 individu, probabilitas crossover pc = 0,8, probabilitas mutasi pm = 0,05, serta strategi elitisme yang mempertahankan 2 individu terbaik per generasi. Dari 170 tower transmisi, 31 tower kandidat disaring menggunakan ambang batas konservatif R > 5 Ω atau frekuensi sambaran di atas rata-rata. GA mencapai konvergensi pada generasi ke-60 dengan nilai fitness terbaik 370,66, mengidentifikasi 7 tower prioritas untuk pemasangan TLA. Tower 72 menempati peringkat tertinggi dengan Risk Score 119,66. Penerapan TLA tipe Siemens Energy 3EV1 EGLA pada tower terpilih bertujuan mencegah flashover dan backflashover serta meningkatkan indeks keandalan sistem transmisi.
An Improved Electro-Geometric Model for The 150 kV Kenten–Tanjung Api-Api High-Voltage Overhead Line (Sutt) to Enhance The Performance of The Lightning Protection System Salhadi Prataba; Ridha Yasser; Rudy Setiabudi
Journal of Social Research Vol. 5 No. 9 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i9.3411

Abstract

Lightning strikes remain one of the major causes of disturbances in high-voltage overhead transmission lines, particularly in tropical regions with high lightning activity, such as Indonesia. Failures caused by shielding failure and back flashover can reduce transmission reliability and lead to operational disruptions. The 150 kV Kenten–Tanjung Api-Api High-Voltage Overhead Line (SUTT) experienced lightning-related disturbances during the 2022–2025 period, indicating the need for a more accurate evaluation of its lightning protection performance. This study aims to analyze the performance of the lightning protection system and identify vulnerable towers using the Improved Electro-Geometric Model (IEGM) method. The research employed a case study approach using tower construction data, lightning strike records from the Lightning Detection System (LDS), and historical disturbance data. The analysis involved channel geometry modeling, striking distance calculations, shielding failure assessment, back flashover evaluation, and tower risk classification. The results show that the IEGM method provides a comprehensive assessment by integrating lightning characteristics, tower geometry, grounding conditions, and protection parameters. The analysis successfully identified variations in shielding performance and tower vulnerability levels along the transmission line. Several towers were classified as requiring priority improvements due to higher risks associated with shielding failure and back flashover. The study concludes that segmented IEGM analysis can be effectively applied as a decision-support tool for optimizing lightning protection systems, improving maintenance priorities, and enhancing the reliability of high-voltage transmission networks.
Health Index Evaluation of Power Transformers Based on Electrical and Insulation Diagnostic Parameters Akhmad Rizal Jiwo Prakoso; Ridha Yasser; Dhany Harmeidy Barus
Jurnal Teknik Indonesia Vol. 5 No. 4 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i4.906

Abstract

Power transformers are essential components of electrical power transmission systems, where insulation deterioration and operational aging can compromise reliability and increase the risk of failure. Comprehensive condition assessment is therefore necessary to support effective maintenance planning and enhance transformer asset management. This study aims to assess the condition of power transformers using a Health Index (HI) approach that integrates electrical and insulation diagnostic parameters. The study was conducted on 14 power transformers installed at 150-kV transmission substations. The assessment incorporated several diagnostic parameters, including dissolved gas analysis (DGA), moisture content, acidity, interfacial tension, breakdown voltage, insulation resistance, dielectric dissipation factor (tan ?), winding resistance, and sweep frequency response analysis (SFRA). These parameters were integrated into five assessment factors: internal fault indicators, paper insulation condition, insulating oil quality, electrical insulation condition, and winding condition. The results indicated that four transformers were classified as Very Good, four as Good, three as Fair, and three as Poor. Furthermore, the analysis revealed a negative relationship between transformer service age and HI values, with a coefficient of determination (R²) of 0.7793, suggesting a strong association between aging and transformer condition. Field verification confirmed that the HI classifications were consistent with the transformers' actual operating conditions and diagnostic findings. This study demonstrates that the proposed HI method provides a comprehensive and practical framework for assessing transformer condition, supporting more effective condition monitoring, preventive maintenance planning, and informed decision-making in power system asset management.
Co-Authors Akhmad Rizal Jiwo Prakoso Dhany Harmeidy Barus Rama Sirait, Rummi Santi Rudy Setiabudi Salhadi Prataba Stefanus Arno