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Journal : Journal of Electrical Engineering, Energy, and Information Technology

Study of Positioning Effect of Arrester Before and After FCO Next to Distribution Transformer Againts Lightning Surge Strikes Maulasa, Romi; Kurnianto, Rudi; Gani, Usman A.
Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 12, No 1: April 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/j3eit.v12i1.76152

Abstract

There are 2 methods of placing the Arrester and Fuse Cut Out (FCO) as protection at  distribution substation, namely the placement of the Arrester before the Fuse Cut Out (FCO) and the placement of the Arrester after the Fuse Cut Out (FCO). Each method has a different impact in overcoming the coming lightning implosion voltage disturbance. The purpose of this study is to determine the effect of arrester placement before and after FCO on distribution transformers on lightning surge interference, and to find out how the performance of arresters and FCO when lightning surge interference occurs. In this study there are three calculations, namely the calculation of the arrester placement before the FCO, the calculation of the arrester placement after the FCO and the calculation of the maximum protection distance of the lightning arrester with the transformer. The results of this study are the placement of the Arrester before the FCO, the surge voltage that passes to the primary side of the transformer is 53,8567 kV/ µs, this value is still below the transformer TID of 125 kV. Then in the Arrester placement after the FCO the surge voltage that passes to the primary side of the transformer is 58   kV/ µs, this value is still below the TID of the transformer of 125 kV. The maximum distance of arrester placement to the transformer is 14,1 m. The conclusion of this research is that the arrester works optimally in the two placements as for FCO does not work well in the Arrester placement after FCO.
DETERMINATION OF FLASH CLOUD – GROUND DENTITY APPROACHED BY GEOSTATISTIC Okqye, Igosius; Kurnianto, Rudi; Danial, Danial
Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 11, No 2: August 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/j3eit.v11i2.68581

Abstract

Pontianak City is an area located in the equatorial area which has an area of 107.82 km2 and consists of 6 districts. Because it is located in the equatorial area, it results in the growth of convective clouds in Pontianak City with the potential for lightning and heavy rain. The purpose of this study was to obtain interpolation modeling of lightning strike density in Pontianak City using geostatistical approaches, namely kriging and IDW methods ((Inverse Distance Weighted). The results of the two methods are compared to obtain feasible parameters to use to determine the density of lightning strikes. Based on the results of the analysis, the kriging method with spherical type is better than the exponential and gaussian methods, while for the IDW method power 3 is better than power 1 and 2. The average lightning strikes per grid in the Pontianak area ranges from 2 to 22 strikes per grid/km2/year. The highest strike on the Pontianak Kota grid with 22 strikes and the lowest on the Southeast Pontianak grid with 2 strikes. Meanwhile, based on the contour map of lightning strike density in the Pontianak City area using kriging and IDW methods, the results for the highest lightning strike range are Pontianak City with a total of 5-20 strikes. As for the lowest lightning strike range, namely Southeast Pontianak with a total of 2-9 strikes.
STUDI POTENSI PEMBANGKIT LISTRIK TENAGA ANGIN MENGGUNAKAN FUNGSI KERAPATAN PROBABILITAS WEIBULL Muyassar, Verrel Andrean; Kurnianto, Rudi; Khwee, Kho Hiee
Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 10, No 2: Juli 2022
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/j3eit.v10i2.60669

Abstract

Statistik Weibull sering digunakan sebagai pendekatan distribusi kecepatan angin dan merupakan analisis statistik yang paling cocok dengan data eksperimental. Penelitian ini membahas tentang Studi Potensi Pembangkit Listrik Tenaga Angin menggunakan Fungsi Kerapatan Probabilitas Weibull. Tujuan penelitian ini adalah untuk menghitung besarnya kecepatan angin rata-rata, parameter bentuk dan parameter skala, fungsi kerapatan probabilitas Weibull, serta energi output turbin angin selama setahun baik pada ketinggian hasil pengukuran maupun pada berbagai ketinggian di atas permukaan tanah. Adapun data yang dijadikan rujukan berupa data sekunder kecepatan angin selama setahun (1 Juni 2021 "“ 31 Mei 2022) yang bersumber dari BMKG Supadio Pontianak dan data turbin angin Travere Industries sebanyak dua sampel (1,6 kW dan 2,1 kW). Berdasarkan hasil yang diperoleh, besarnya kecepatan angin rata-rata pada ketinggian 10 m di atas permukaan tanah (ketinggian hasil pengukuran) adalah 3,4011 knot atau 1,7495 m/s. Apabila menara turbin angin ditinggikan menjadi 15 m, 20 m, 25 m, dan 30 m maka besarnya kecepatan  angin rata-rata berturut-turut adalah 3,6385 knot; 3,8070 knot; 3,9376 knot; dan 4,0444 knot atau 1,8717 m/s; 1,9583 m/s; 2,0255 m/s; dan 2,0804 m/s. Dengan mengimplementasikan Metode Grafik (Graphical Method) diperoleh parameter bentuk   k = 1,1799 dan parameter skala c = 3,2976 knot atau 1,6963 m/s. Parameter bentuk k = 1,1799 mendekati fungsi kerapatan probabilitas Weibull k = 1 dimana kurvanya berbentuk seperti fungsi eksponensial. Kemudian apabila menara turbin angin ditinggikan dengan ketinggian 15 m, 20 m, 25 m, dan 30 m, maka parameter bentuk (k) bernilai tetap, sedangkan parameter skala (c) akan mengalami kenaikan berturut-turut sebesar 3,5275 knot; 3,6910 knot; 3,8175; dan 3,9212 knot atau 1,8145 m/s; 1,8987 m/s; 1,9637 m/s; dan 2,0171 m/s.   Dari nilai k dan c yang didapat maka fungsi kerapatan probabilitas Weibull . Apabila menara turbin angin ditinggikan menjadi 15 m, 20 m, 25 m, dan 30 m maka fungsi kerapatan probabilitas Weibull  berturut-turut adalah ; 0;  ;   dan     . Pada ketinggian 10 m di atas permukaan tanah, besarnya energi listrik selama setahun dari turbin angin Travere Industries 1,6 kW adalah 235,85 kWh. Apabila menara turbin angin ditinggikan menjadi 15 m, 20 m, 25 m, dan 30 m, maka energi listrik yang dihasilkan selama setahun berturut-turut adalah 290,55 kWh; 333,28 kWh; 367,79 kWh; dan 398,09 kWh. Sedangkan pada ketinggian 10 m di atas permukaan tanah, besarnya energi listrik selama setahun dari turbin angin Travere Industries 2,1 kW adalah 688,55 kWh. Apabila menara turbin angin ditinggikan menjadi 15 m, 20 m, 25 m, dan 30 m, maka energi listrik yang dihasilkan selama setahun berturut-turut adalah 835,94 kWh; 948,30 kWh; 1037,38 kWh; dan 1114,50 kWh.