Unit Commitment Menggunakan Metode Mixed Integer Linear Programming Mempertimbangkan Batas Transfer Daya Antar Area di Pulau Sumbawa

Taufik, Fadhil Muhammad (2024) Unit Commitment Menggunakan Metode Mixed Integer Linear Programming Mempertimbangkan Batas Transfer Daya Antar Area di Pulau Sumbawa. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan kebutuhan energi listrik selaras dengan peningkatan jumlah penduduk yang berarti peningkatan konsumen dan peningkatan pertumbuhan ekonomi. Demi memenuhi kebutuhan yang semakin besar, maka dibutuhkan banyak pembangkit yang letaknya berada pada area yang berbeda-beda dan dihubungkan dalam sistem interkoneksi sehingga memungkinkan terjadi transfer daya antar area demi memenuhi kebutuhan area dengan beban yang lebih besar. Interkoneksi juga menjaga keandalan sistem dan menghemat biaya karena beberapa pembangkit dapat dioperasikan sebagai pemikul beban dasar dan pembangkit lain dapat dioperasikan sebagai pemikul beban puncak saja. Pembangkit yang memanfaatkan energi terbarukan seperti matahari (PLTS) dan angin (PLTB) merupakan pembangkit dengan sumber energi intermittent, sehingga energi tersebut perlu disimpan terlebih dahulu dan digunakan hanya ketika dibutuhkan. Untuk menghemat biaya pembangkitan, dibutuhkan unit commitment atau kombinasi penjadwalan nyala-mati pembangkit dengan mempertimbangkan banyak faktor, diantaranya adalah batas transfer daya antar area dan energy storage. Perhitungan biaya pembangkitan minimum dapat dilakukan dengan metode Mixed Integer Linear Programming (MILP). Dari penelitian ini menghasilkan biaya pembangkitan optimum sebesar Rp6.030.345.652 untuk permasalahan unit commitment pada sistem kelistrikan Pulau Sumbawa 23 unit selama 24 jam dengan mempertimbangkan batas transfer daya antar area Sumbawa dengan area Bima, ramp rate, minimum up-time dan down-time serta daya terbangkit minimum dan maksimum.

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The increase in electricity demand aligns with the rise in population, which means an increase in consumers and economic growth. To meet the growing needs for electrical demand, many power plants are required, located in different areas and connected in an interconnected system, allowing power transfer between areas to meet the needs of areas with higher load need. Interconnection also maintains system reliability and saves costs because some power plants can operate as base load carriers while others can operate solely as peak load carriers. Power plants that utilize renewable energy such as PV and wind turbine are intermittent energy sources, so this energy needs to be stored first and used only when needed. To save generation costs, unit commitment or a combination of on-off scheduling of power plants is needed, considering many factors, including power transfer limits between areas and energy storage. Minimum generation cost calculations can be performed using the Mixed Integer Linear Programming (MILP) method. This study resulted in an optimal generation cost of Rp6.030.345.652 for the unit commitment problem in the Sumbawa Island electrical system with 23 units over 24 hours, considering power transfer limits between the Sumbawa and Bima areas, ramp rate, minimum up-time and down-time, and minimum and maximum generated power.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Unit commitment, Mixed Integer Linear Programming (MILP), Batas Transfer daya, Energy Storage, nit commitment, Mixed Integer Linear Programming (MILP), Power Transfer Limit, Energy Storage
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T57.74 Linear programming T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants
Divisions:	Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Fadhil Muhammad Taufik
Date Deposited:	02 Aug 2024 07:23
Last Modified:	02 Aug 2024 07:23
URI:	http://repository.its.ac.id/id/eprint/111750

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