Model Predictive Control dalam Optimisasi Diversifikasi Sumber Energi Terbarukan dan Tidak Terbarukan

Megawati, Tiasri Raini (2021) Model Predictive Control dalam Optimisasi Diversifikasi Sumber Energi Terbarukan dan Tidak Terbarukan. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Permintaan sumber energi terus bertambah seiring dengan meningkatnya populasi penduduk. Sebagian besar penggunaan energi di Indonesia masih bergantung pada sumber energi tidak terbarukan. Sementara persediaan sumber energi tidak terbarukan semakin berkurang. Untuk mencegah kelangkaan energi, diperlukan pengembangan energi yang baru dan terbarukan. Namun, pengembangan energi terbarukan membutuhkan biaya yang besar dan juga waktu yang lama. Oleh karena itu, dibutuhkan pengendalian terhadap produksi sumber energi terbarukan dan tidak terbarukan. Pada penelitian ini, diterapkan teori kendali optimum dengan menggunakan metode Model Predictive Control (MPC). Dalam simulasi desain kendali MPC, digunakan dua kasus. Kasus yang pertama nilai referensi telah ditentukan. Sedangkan kasus yang kedua nilai referensi berubah-ubah terhadap waktu. Hasil penerapan MPC menunjukkan bahwa tingkat produksi kedua sumber energi mencapai referensi yang diinginkan. Hal ini menunjukkan bahwa MPC mampu melakukan kontrol yang optimal terhadap kedua sumber energi.
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The demand for energy sources continues to grow along with the increasing population. Most of the energy use in Indonesia still depends on non-renewable energy sources. Meanwhile, the supply of non-renewable energy sources is decreasing. To prevent energy shortages, it is necessary to develop new and renewable energy. However, the development of renewable energy requires a large cost and also a long time. Therefore, it is necessary to control the production of renewable and non-renewable energy sources. In this research, optimum control theory is applied by using the Model Predictive Control (MPC) method. In the MPC control design simulation, two cases are used. For the �rst case, the reference value has been determined. Meanwhile, in the second case, the reference value varies with time. The results of the MPC application show that the production levels of both energy sources reach the desired references. This shows that MPC is able to perform optimal control on both energy sources.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kendali Optimum, Model Predictive Control, Sumber Energi Terbarukan dan Tidak Terbarukan, Optimum Control, Model Predictive Control (MPC), Renewable and Non-renewable Energy Sources
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA402 System analysis. Q Science > QA Mathematics > QA614.8 Differentiable dynamical systems
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Mathematics > 44201-(S1) Undergraduate Thesis
Depositing User:	Tiasri Raini Megawati
Date Deposited:	31 Aug 2021 05:46
Last Modified:	31 Aug 2021 05:46
URI:	http://repository.its.ac.id/id/eprint/90919

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