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Pengujian Tahanan Isolasi pada Capacitive Voltage Transformer (CVT) di Bay Penghantar Tes 1/70 kV PT PLN (Persero) ULTG/GI Pekalongan Handayani, Yanolanda Suzantry; Sa’adah, Zahiroh Alfiyah; Arfan, Muhammad; Priyadi, Irnanda
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.37

Abstract

Capacitive Voltage Transformer (CVT) adalah salah satu komponen penting pada sistem gardu induk. Fungsi CVT adalah untuk mengubah besaran tegangan dari tegangan tinggi ke tegangan rendah atau memperkecil besaran tegangan pada sistem tenaga listrik untuk pengukuran dan proteksi. Pemeliharaan dan perawatan yang terjadwal membuat CVT bekerja sesuai fungsi nya dalam beroperasi. Pengujian tahanan isolasi adalah salah satu pemeliharaan yang dilakukan. Pengujian ini dilakukan pada bay penghantar Tes 1/70 kV PT PLN (Persero) Gardu Induk Pekalongan, yang merupakan pemeliharaan pencegahan (preventive maintenance). Pemeliharaan gardu induk dilakukan dalam kondisi padam setiap dua tahun dan terdiri dari tiga proses utama: pengukuran, pengujian, dan perbandingan hasil uji dengan standar. Hasil pengujian menunjukkan bahwa data tahanan isolasi memenuhi standar yang berlaku, menandakan bahwa CVT masih berfungsi dengan baik dan layak digunakan dalam sistem tenaga listrik.
Genetic Algorithm-Based Contingency Ranking for the 500 kV JAMALI Interconnection System Priyadi, Irnanda; Daratha, Novalio; Rodiah, Yuli; Anggraini, Ika Novia; Sutradi, Tri; Sri Wahyuni, Ade; Reza Razali, Makmun
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.332

Abstract

The performance of an electric power system is strongly tied to how well it can handle disturbances. In daily operation, one of the most frequent and serious disturbances is the loss of a transmission line. When a line trips, its load must be shared by the rest of the network. Sometimes this redistribution is harmless, but in stressed conditions it can create overloads and trigger further outages. To reduce this risk, system operators rely on contingency analysis. The (N-1) criterion, which considers the effect of losing a single component, is the most common standard. However, when applied to a large network, the number of cases becomes very high, and the analysis can be time-consuming. In this work, contingency ranking using a Genetic Algorithm (GA) is studied for two systems: the IEEE 30-bus test grid and the 500 kV Java–Madura–Bali (JAMALI) interconnection in Indonesia. The GA follows the usual cycle of initialization, selection, crossover, mutation, and fitness evaluation, with the Voltage Performance Index (VPI) used to measure severity. Different parameter settings were tested. The results show that line 36 (bus 28–27) is most critical in the IEEE 30-bus system with a VPI of 56.5915, while line 35 (Bangil–Paiton) is most critical in the JAMALI system with a VPI of 95.3947. These outcomes highlight the usefulness of GA in identifying vulnerable transmission lines.