Penentuan Kapasitas Daya Pembangkitan Pada Microgrids Pulau Bawean Mempertimbangkan Cadangan Energi

Zidanna, Lazuardi Akbar (2023) Penentuan Kapasitas Daya Pembangkitan Pada Microgrids Pulau Bawean Mempertimbangkan Cadangan Energi. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pertumbuhan akan kebutuhan listrik masyarakat Pulau Bawean semakin tinggi dilihat berdasarkan data pertumbuhan penduduk sebesar 7,93%. Kondisi pulau bawean yang jauh dari sistem kelistrikan utama di Pulau Jawa mengakibatkan microgrids di pulau ini harus bisa berjalan stand-alone. Sistem pembangkitan di Pulau Bawean yang membutuhkan energi berupa diesel dan CNG sangat bergantung dengan kondisi cuaca yang dapat mempengaruhi transfer energi melalui transportasi laut. Menanggapi kondisi tersebut, Tugas Akhir ini akan dilakukan penentuan kapasitas daya pembangkitan microgrids Pulau Bawean dengan mempertimbangkan cadangan energi. Penentuan kapasitas pada pembangkitan microgrids didapatkan melalui simulasi HOMER Pro yang berguna untuk mengidentifikasi pembebanan pada pembangkit sehingga diketahui levelized cost of energy (LCOE) dari pengoperasian pembangkit berupa PLTMG, PLTD, PLTS, dan Baterai pada microgrids yang mempertimbangkan cadangan energi
yang dimiliki selama satu tahun. Tahapan selanjutnya yang dilakukan ketika daya pembebanan pada pemodelan pembangkit sudah disimulasikan, maka dilakukan simulasi menggunakan DIgSILENT untuk mengetahui pengaruh terhadap profil tegangan dengan pemodelan sistem kelistrikan di Pulau Bawean. Berdasarkan dengan pemodelan yang dilakukan, diketahui
besarnya peningkatan biaya LCOE dipengaruhi dengan pemodelan pengoperasian pembangkit. Kebutuhan bahan bakar berkurang sebesar Pola pengoperasian pembangkit mempengaruhi hasil profil tegangan sebesar 18,5-20,5%. Hasil tegangan tersebut masih sesuai dengan standar. ========================================================================================================================================
The growth of electricity needs of the people of Bawean Island is getting higher, as seen based on population growth data of 7,93%. The condition of Bawean Island, which is far from the central electricity system in Java Island, results in microgrids on this island must be able to run stand-alone. The generation system on Bawean Island that requires energy in the form of diesel and CNG depends on weather conditions that can affect energy transfer through sea transportation. In response to these conditions, this Final Project will determine the power generation capacity of Bawean Island microgrids by considering energy reserves.
Determination of capacity in microgrids generation is obtained through the HOMER Pro software, which helps identify loads on plants so that the levelized cost of energy (LCOE) from plant operations in the form of PLTMG, PLTD, PLTS, and Batteries on microgrids that consider energy reserves owned for one year. The next stage is carried out when the loading power in the plant modeling has been simulated, and then a simulation is carried out using DIgSILENT to determine the effect on the voltage profile by modeling the electrical system on Bawean Island. Based on the modeling carried out, it is known that the magnitude increase of LCOE costs is influenced by modeling the operation of the plant. The operating pattern of the plant reduces fuel requirements and affects the yield of the voltage profile by 18,5-20,5%. The
voltage from the simulation result is still in the standard range.

Item Type:	Thesis (Masters)
Additional Information:	RSE 621.319 1 Zid p-1 2023
Uncontrolled Keywords:	Energi, DIgSILENT, HOMER, Microgrids, Kapasitas Daya, LCOE, Stand-alone. Energy, DIgSILENT, HOMER, LCOE, Microgrids, Power Capacity, Stand-alone.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Lazuardi Akbar Zidanna
Date Deposited:	16 Nov 2023 07:02
Last Modified:	16 Nov 2023 07:02
URI:	http://repository.its.ac.id/id/eprint/102163

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