Kurniawan, Muhammad (2025) Pembebanan Optimal Pembangkit yang Mempertimbangkan Emisi dengan Penetrasi Renewable Energy dan Energy Storage. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penetrasi Renewable Energy Sources (RES) ke dalam sistem tenaga listrik telah menjadi solusi yang menjanjikan untuk mengurangi emisi karbon. Di sisi lain, hal ini juga menimbulkan permasalahan yang lebih kompleks terkait intermitensi RES yang berdampak pada penentuan pembebanan optimal pembangkit dalam sistem tenaga listrik. Tugas Akhir ini bertujuan untuk menemukan nilai pembebanan optimal pembangkit yang berdasarkan pada analisis Multi-Objective Dynamic Optimal Power Flow (MODOPF) dengan mempertimbangkan penetrasi RES dan Energy Storage pada sistem. Sistem uji IEEE 30 bus digunakan dengan memppertimbangkan penetrasi dari Photovoltaic (PV), Wind Turbine (WT), dan Battery Energy Storage System (BESS). Formulasi MODOPF dikembangkan menggunakan perangkat lunak GAMS dengan menggunakan metode Multi-Objective Mixed-Integer Quadratic Constrained Programming (MOMIQCP) berbasis pada Pareto Optimal Solution dan Fuzzy Satisfaction Maximizing Method untuk meminimalkan total biaya sistem dan emisi karbon. Perhitungan terhadap skema regulasi karbon juga turut dilakukan sebagai pertimbangan operasi dalam skema carbon tax dan carbon trade. Secara keseluruhan, total biaya sistem dan emisi dapat dikurangi masing-masing hingga 17,7% dan 20,49%. Dari sisi kinerja sistem, penambahan PV dan WT dapat mengatasi masalah load shedding, sementara integrasi BESS terbukti efektif dalam mengatasi masalah RES curtailment. Selain itu, algoritma MOMIQCP menunjukkan performa komputasi yang lebih baik dibandingkan algoritma komputasi lainnya.
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The penetration of Renewable Energy Sources (RES) into the electric power system has become a promising solution to reduce carbon emissions. On the other hand, it also raises more complex problems related to RES intermittency which has an impact on determining the optimal dispatch of power generation in the electric power system. This final project aims to find the optimal dispatch power generation based on the Multi-Objective Dynamic Optimal Power Flow (MODOPF) analysis by considering the penetration of RES and Energy Storage in the system. The IEEE 30 bus test system is used by considering the penetration of Photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage System (BESS). The MODOPF formulation is developed in GAMS by using the Multi-Objective Mixed-Integer Quadratic Constrained Programming (MOMIQCP) method based on the Pareto Optimal Solution and Fuzzy Satisfaction Maximizing Method to minimize the total system cost and carbon emissions. Calculations of the carbon regulation scheme are also carried out as a consideration of operations in the carbon tax and carbon trade schemes. Overall, the total system cost and emissions can be reduced by 17.7% and 20.49%, respectively. In terms of system performance, the addition of PV and WT can overcome the load shedding problem, while the integration of BESS is proven to be effective in overcoming the RES curtailment problem. In addition, the MOMIQCP algorithm shows better computational performance than other computational algorithms.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Aliran Daya Optimal Dinamis Multi-Objektif, Emisi, Energi Terbarukan, Penyimpanan Energi, Pajak Karbon, Perdagangan Karbon, Multi-objective Dynamic Optimal Power Flow, Emission, Renewable Energy, Energy Storage, Carbon Tax, Carbon Trade |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Kurniawan |
| Date Deposited: | 05 Jun 2025 06:52 |
| Last Modified: | 10 Jun 2025 09:32 |
| URI: | http://repository.its.ac.id/id/eprint/119143 |
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