Arrasyid, Taufiq (2019) Thermal Unit Commitment Mempertimbangkan Kombinasi Photovoltaic Dan Pump Storage Hydroelectric Untuk Menyelesaikan Masalah Duck Curve Menggunakan Algoritma Binary Particle Swarm Optimization. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan pemakaian Photovoltaic (PV) menimbulkan sebuah masalah baru pada sistem tenaga listrik. Karena semakin bertambah jumlah pemakaian PV, maka daya yang dibangkitkan PV pada siang hari sangatlah besar dan semakin bertambah. Sehingga hal tersebut mengakibatkan perubahan load demand pada Unit Pembangkit Thermal. Pada siang hari PV akan memproduksi daya sehingga permintaan daya pada Unit Pembangkit Thermal sangatlah sedikit. Sebaliknya pada malam hari PV tidak memproduksi daya sehingga permintaan daya pada malam hari akan meningkat secara drastis. Hal tersebut diakibatkan karena daya yang semula ditanggung oleh PV harus ditanggung oleh Unit Pembangkit Thermal. Kondisi itu mengakibatkan perubahan pada kurva beban yaitu terciptanya bentuk seperti leher bebek yang disebut dengan duck curve. Hal ini mengakibatkan kenaikan start-up cost (SUC) dari Unit Pembangkit Thermal karena akan lebih sering dihidup matikan dalam waktu yang relatif singkat. Pada tugas akhir ini akan diperkenalkan sebuah Thermal Unit Commitment dengan Pump Storage Hydroelectric (PSH) menggunakan algoritma Binary Particle Swarm Optimization (BPSO). Dengan metode tersebut dapat diperoleh penjadwalan unit pembangkit thermal yang lebih optimal. Berdasarkan hasil analisis data, dengan adanya PSH dapat menurunkan total biaya operasi selama 24 jam yang semula $327565 menjadi $322397. Selain itu metode tersebut juga terbukti dapat menyelesaikan masalah duck curve pada kurva beban.
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The development of Photovoltaic (PV) usage causing a new problem in the electric power system. Because of the increasing number of PV usage, the power generated by PV during the day is very large and increasing. So that this results in changes in load demand on Thermal Generating Units. During the day the PV will produce power so that the demand for power in the Thermal Generator Unit is very little. Conversely at night PV does not produce power so that the demand for power at night will increase dramatically. This is because the power that was initially covered by PV must be borne by the Thermal Generating Unit. This condition results in changes to the load curve, namely the creation of a shape like a duck's neck called the duck curve. This results in an increase in the start-up cost (SUC) of the Thermal Generating Unit because it will be switched off more frequently in a relatively short time. In this final project a Thermal Unit Commitment with Hydroelectric Pump (PSH) will be introduced using the Binary Particle Swarm Optimization (BPSO) algorithm. With this method we can obtain a more optimal scheduling of thermal generating units. Based on the results of data analysis, the presence of PSH can reduce the total operating costs for 24 hours which was originally $ 349385 to $ 347051. In addition, the method is also proven to solve the duck curve problem in the load curve.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.312 44 Arr t-1 2019 |
| Uncontrolled Keywords: | Photovoltaic, Load Demand, Duck Curve, Thermal Unit Commitment, Binary Particle Swarm Optimization. |
| Subjects: | Q Science > Q Science (General) > Q337.3 Swarm intelligence Q Science > QA Mathematics > QA336 Artificial Intelligence T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Arrasyid Taufiq |
| Date Deposited: | 04 Jan 2023 03:44 |
| Last Modified: | 04 Jan 2023 03:44 |
| URI: | http://repository.its.ac.id/id/eprint/63423 |
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