Oktaviani, Berliandra (2023) Dynamic Economic Dispatch Menggunakan Metode Algoritma Turbulent Flow of Water-Based Optimization (TFWO) Dengan Mempertimbangkan Pengaruh Penetrasi Renewable Energy. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Seiring dengan perkembangan zaman, kebutuhan manusia semakin bertambah. Perkembangan ini berdampak pada demand pada pembangkitan yang meningkat. Peningkatan tersebut alhasil menyebabkan penyesuaian daya pada pembangkitan dan ketersediaan bahan bakar fosil atau minyak bumi yang digunakan semakin menipis setiap harinya. Oleh karena itu, perlu dikembangkannya studi mengenai perhitungan pengiriman daya pembangkitan dengan mempertimbangkan sumber energi terbarukan untuk menggantikan penggunaan bahan bakar fosil dalam pembangkit listrik. Tujuannya untuk mencapai sistem yang optimal dan ekonomis. Penelitian mengenai economic dispatch merupakan penelitian yang mempelajari proses pembagian dispatch pembebanan pada unit pembangkit untuk memperoleh hasil optimal pada biaya pengoperasiannya. Penelitian tersebut dikembangkan menjadi Dynamic Economic Dispatch (DED) yang lebih menguntungkan dan sesuai untuk sistem dinamis. Tugas akhir ini bertujuan untuk mendapatkan analisis Dynamic Economic Dispatch menggunakan Metode Turbulent Flow of Water-Based Optimization (TFWO). Analisis dari tugas akhir ini membandingkan perhitungan DED dari Metode TFWO dengan metode Merit Order dan memberikan penetrasi dari Renewable Energy (RE) pada sistem. Hasil dari simulasi TFWO tervalidasi menggunakan Metode Lambda senilai $14.657,80. Sedangkan, metode Merit Order senilai $14.895,70. Penambahan penetrasi PLTS mengakibatkan biaya pembangkitkan meningkat dengan nilai $20.067,50. Dari simulasi diketahui bahwa metode TFWO dapat menghitung DED dengan optimal dan penetrasi RE untuk saat simulasi yang dilakukan membuat biaya pembangkitan meningkat dari sebelumnya.
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Along with the times, human needs are increasing. This development has an impact on the increasing demand for generation. This increase has caused power adjustments to the generation and availability of fossil fuels or petroleum used to run low every day. Therefore, it is necessary to develop studies on the calculation of power generation delivery by considering renewable energy sources to replace the use of fossil fuels in power generation. The goal is to achieve an optimal and economical system. Research on economic dispatch is a study that studies the process of distributing dispatch loads on generating units to obtain optimal results on operating costs. The research was developed into a Dynamic Economic Dispatch (DED) that is more profitable and suitable for dynamic systems. This final project aims to obtain Dynamic Economic Dispatch analysis using the Turbulent Flow of Water-Based Optimization (TFWO) Method. The analysis of this final project compares the DED calculation of the TFWO Method with the Merit Order method and provides penetration of Renewable Energy (RE) in the system. Results from TFWO simulations were validated using the Lambda Method valued at $14,657.80. Meanwhile, the Merit Order method is valued at $14,895.70. The addition of PLTS penetration resulted in the cost of generation increasing with a value of $ 20,067.50. From the simulation, it is known that the TFWO method can calculate DED optimally and the RE penetration for the time of simulation makes the generation cost increase from before.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Biaya, Dynamic Economic Dispatch, Ekonomis, Renewable Energy, TFWO, Cost, Dynamic Economic Dispatch, Economic, Renewable Energy, Turbulent Flow of Water-Based Optimization |
| Subjects: | Q Science > QA Mathematics > QA336 Artificial Intelligence T Technology > T Technology (General) > T57.62 Simulation T Technology > TJ Mechanical engineering and machinery > TJ808 Renewable energy sources. Energy harvesting. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar powerplants |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Berliandra Oktaviani |
| Date Deposited: | 26 Jul 2023 03:15 |
| Last Modified: | 26 Jul 2023 03:15 |
| URI: | http://repository.its.ac.id/id/eprint/98522 |
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