Analisis Pengaruh Pola Perubahan Beban Pada Sistem Smart Grid Terhadap Karakteristik Fisik Dan Elektris Minyak Transformator

Andriani, Novia (2018) Analisis Pengaruh Pola Perubahan Beban Pada Sistem Smart Grid Terhadap Karakteristik Fisik Dan Elektris Minyak Transformator. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Eksistensi smart grid dan charging station dari electric vehicle mempengaruhi pola beban yang terhubung ke transformator. Aliran arus beban pada transformator yang berubah-ubah menyebabkan perubahan temperatur belitan hingga temperatur minyak transformator tersebut. Pada Tugas akhir dilakukan penelitian untuk mengetahui pengaruh pola perubahan beban terhadap karakteristik fisik dan elektris minyak transformator. Sample minyak dibagi menjadi sample kurva beban harian transformator, sample photovoltaic (PV), sample charging station, dan sample konstan. Sample tersebut dipanaskan lalu diamati karakteristik fisik (pengamatan visual warna minyak) dan elektrisnya (pengujian breakdown voltage). Sample tersebut juga diuji DGA (Dissolve Gas Analysis) untuk mengetahui kandungan gas apa saja yang terkandung di dalam minyak transformator. Hasil karakteristik fisik adalah sample konstan mempunyai kerusakan paling rendah (minyak berwarna kuning). Hasil karakteristik elektris adalah sample konstan mempunyai nilai tegangan tembus paling tinggi daripada sample kurva beban harian transformator, sample PV, dan sample charging station dengan nilai berturut – turut 36.108 kV, 8.8 kV, 24.548 kV, dan 28.894 kV. Hasil DGA adalah kandungan gas terlarut rata-rata dalam kategori kondisi 1 yakni minyak berada pada kondisi normal. Berturut-turut sample konstan, sample kurva beban harian tranformator, sample PV, dan sample charging station mempunyai nilai TDCG yakni 2 ppm, 7 ppm, 3 ppm, dan 31 ppm. Hal ini menunjukkan bahwa pola pemanasan konstan mempunyai nilai TDCG paling rendah dan memberikan hasil terbaik untuk kesehatan minyak transformator. ================================================================================================= The existence of smart grid and charging station of the electric vehicle affect the load pattern connected to the transformer. The load change pattern connected to the transformer cause a change in winding and oil temperature. This final project perform research to define the effect of load change pattern to the physical and electrical characteristics of transformer oil. The oil sample is divided into transformer daily load curve sample, photovoltaic (PV) sample, charging station sample, and constant sample. The sample is heated and then examine the physical (oil color visual observation) and the electrical (breakdown voltage test) characteristics. The sample is also tested by DGA (Dissolve Gas Analysis) to observe what gas content in transformer oil. The result of physical characteristics is constant sample having the lowest damage (the color of oil is yellow). The electrical characteristic result is a constant sample having the highest breakdown voltage value than transformer daily load curve sample, PV sample, and charging station sample with values respectively 36,108 kV, 8.8 kV, 24,548 kV, and 28,894 kV. The DGA result is all oil sample in category 1 that is in normal condition. The TDCG value of constant sample, tranformer daily load curve sample, PV sample, and charging station sample respectively is 2 ppm, 7 ppm, 3 ppm, and 31 ppm. It indicate that a constant heating pattern has the lowest TDCG value and provides the best results for transformer oil health.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Karakteristik Fisik dan Elektris Minyak Trafo, Pengujian Tegangan Tembus, DGA Keywords: Physical and Electrical Characterisitc of Transformator Oil, Breakdown Voltage Test, DGA
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3401 Insulation and insulating materials
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Novia Andriani
Date Deposited: 09 Aug 2021 21:58
Last Modified: 09 Aug 2021 21:58
URI: https://repository.its.ac.id/id/eprint/52347

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