Analisis Resilience sistem transmisi 150 kV : Studi kasus aub aistem Bandung Timur akibat bencana alam

Asmoro, Damar Tri (2020) Analisis Resilience sistem transmisi 150 kV : Studi kasus aub aistem Bandung Timur akibat bencana alam. Diploma thesis, UIN Sunan Gunung Djati Bandung.

[img]
Preview
Text (COVER)
1_ cover.pdf

Download (37kB) | Preview
[img]
Preview
Text (ABSTRAK)
2_abstrak.pdf

Download (21kB) | Preview
[img]
Preview
Text (DAFTAR ISI)
3_daftarisi.pdf

Download (114kB) | Preview
[img]
Preview
Text (BAB I)
4_bab1.pdf

Download (154kB) | Preview
[img] Text (BAB II)
5_bab2.pdf
Restricted to Registered users only

Download (845kB) | Request a copy
[img] Text (BAB III)
6_bab3.pdf
Restricted to Registered users only

Download (35kB) | Request a copy
[img] Text (BAB IV)
7_bab4.pdf
Restricted to Registered users only

Download (374kB) | Request a copy
[img] Text (BAB V)
8_bab5.pdf
Restricted to Registered users only

Download (1MB) | Request a copy
[img] Text (BAB VI)
9_bab6.pdf
Restricted to Registered users only

Download (25kB) | Request a copy
[img] Text (DAFTAR PUSTAKA)
10_daftarpustaka.pdf
Restricted to Registered users only

Download (234kB) | Request a copy

Abstract

Sistem transmisi adalah proses transmisi tenaga listrik dari pembangkit listrik ke konsumen. Saluran transmisi 150 kV rentan terhadap gangguan dari bencana alam yang dapat menyebabkan pemutusan listrik sementara. Sistem listrik dikatakan handal ketika mampu mendistribusikan beban secara berkelanjutan. Untuk membantu agar daya listrik dapat tersalurkan secara berkelanjutan dan listrik menjadi andal, maka diperlukan penentuan tingkat resilience sistem transmisi untuk menganalisa tingkat ketahanan saluran transmisi dan gardu induk terhadap gangguan lisrik yang disebabkan oleh bencana alam. Metode Expected Energy Not Served dan Probabilitas Gagal Sistem digunakan untuk menghitung Tingkat Resilience apakah sistem listrik itu tangguh atau tidak ketika bencana alam menyerang sistem listrik. Metode simulasi Monte Carlo digunakan untuk melakukan Forecasting rata-rata lama waktu padam. Bencana alam angin puting beliung yang paling rentan menyebabkan gangguan sistem listrik di PT PLN (Persero) Sub Sistem Bandung Timur diperoleh nilai EENS sebesar 7551.520 MWh dan nilai probabilitas gagal sistem sebesar 0.000494292, evaluasi untuk menurunkan nilai EENS dan probabilitas gagal sistem dilakukan usulan perbaikan yang belum dilakukan PLN. Diperoleh 4 dari 6 usulan perbaikan yang layak dilakukan perbaikan sesegera mungkin berdasarkan pendekatan metode Benefit Cost Ratio yaitu menggunakan Ground Steel Wire, menambahkan zat kimia pada tanah, menggunakan Lightning Arrester dan menambahkan saluran transmisi yang identik sejajar dengan yang sudah ada agar sistem menjadi lebih andal menyalurkan listrik kepada pelanggan. Validasi hasil Forecasting menggunakan simulasi Monte Carlo dengan data asli rata-rata lama waktu padam didapatkan error rate tahun 2020 sebesar 6% dan tahun 2021 sebesar 15%. ENGLISH : The transmission system is the process of transmitting electric power from power plants to consumers. 150 kV transmission lines are susceptible to interference from natural disasters which can cause temporary blackout. The electrical system is said to be reliable when it is able to distribute loads in a sustainable manner. To help electric power can be distributed sustainably and electricity becomes reliable, it is necessary to determine the level of resilience of the transmission system to analyze the resistance level of transmission lines and substations to electricity disturbances caused by natural disasters. The Expected Energy Not Served method and the System Failure Probability are used to calculate the Resilience Level whether the electric system is resilient or not when a natural disaster strikes the electrical system. The Monte Carlo simulation method is used to forecast the average length of blackout. The natural disaster of hurricane is the most vulnerable to disruption of the electrical system in PT PLN (Persero), East Bandung Sub System, an EENS value of 7551,520 MWh is obtained and a system failure probability value of 0.000494292, an evaluation to reduce the EENS value and the probability of system failure is made by proposals for improvements carried out by PLN. There were 4 out of 6 improvement proposals that deserve to be repaired as soon as possible based on the Benefit Cost Ratio method approach, namely using Ground Steel Wire, adding ground enhanced material, using a Lightning Arrester and adding a transmission line that is identical to the existing one so that the system becomes more reliable in distributing. electricity to customers. Validation of Forecasting results using Monte Carlo simulations with original data the average length of blackout, the error rate in 2020 is 6% and in 2021 is 15%.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Bencana Alam; Benefit Cost Ratio; Forecasting; Sistem Transmisi 150 kV; Tingkat Resilience
Subjects: Applied mathematics > Probabilities
Electricity > Theories of Electricity
Applied Physics > Transformers
Applied Physics > Electrical Transmission
Applied Physics > Power Transmission Systems
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Elektro
Depositing User: Damar Tri Asmoro
Date Deposited: 18 Jan 2021 02:24
Last Modified: 18 Jan 2021 02:24
URI: http://digilib.uinsgd.ac.id/id/eprint/36333

Actions (login required)

View Item View Item