Oktavian, Rizky (2017) Analisa Keandalan Sistem Transmisi 150kv Wilayah Bali Dengan Metode Monte Carlo. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada studi ini akan dibahas mengenai keandalan sistem 150 kV di Wilayah Bali dengan menggunakan metode Monte Carlo untuk mengetahui nilai prediksi LOLP (Loss Of Load Probability) terutama untuk memperkirakan dampak dari sifat yang tidak pasti pada FOR (Forced Outage Rate) dari generator pada pembangkit di wilayah Bali. Metode Monte Carlo adalah metode yang pembangkitan nilai acak dari kombinasi beberapa unit pembangkit dalam mensuplai kebutuhan beban yang fluktuaktif. Dari hasil simulasi menggunakan matlab diperoleh bahwa nilai prediksi LOLP dari sistem 150 kV di Wilayah Bali adalah 0,6699 hari/tahun. Nilai prediksi ini belum memenuhi standar internasional 0,25 hari/tahun, serta sudah memenuhi standar PLN yaitu 1 hari/tahun untuk Wilayah Jawa-Bali.
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In this project will be discussed regarding the reliability of 150 kV system in Bali, by using Monte Carlo method to determine the predictive value LOLP (Loss of Load Probability) esepcially to concern FOR (Forced Outage Rate) from generating unit in Bali. Monte Carlo method is a method that generate random value the accumulation of a combination several generating units to supply the needs of load fluctuate. From the simulation results obtained that using excel LOLP the predictive value of 150 kV system in Bali is 0,6699 days / year. The predictive value still does not meet international standards of 0.25 days / year, and it’s already meet the standards i.e. PLN 1 day / year for the Java-Bali region.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Forced Outage, Loss Of Load Probability, Monte Carlo method |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Oktavian Rizky |
| Date Deposited: | 22 Sep 2017 07:57 |
| Last Modified: | 06 Mar 2019 03:39 |
| URI: | http://repository.its.ac.id/id/eprint/44041 |
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