Rohmat, Muhamad Ais Faza (2026) Penempatan Optimal Pembangkit Listrik Tenaga Surya dan Baterai untuk Perbaikan Kualitas Daya pada Sistem Kelistrikan Sulawesi Bagian Utara dan Gorontalo. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Peningkatan kebutuhan listrik dan target Net Zero Emission 2060 mendorong integrasi pembangkit berbasis energi baru terbarukan pada sistem tenaga listrik, salah satunya melalui pemanfaatan Pembangkit Listrik Tenaga Surya (PLTS) yang dikombinasikan dengan Battery Energy Storage System (BESS). Berdasarkan RUPTL 2025–2034, sistem kelistrikan Sulawesi Bagian Utara dan Gorontalo direncanakan menerima penambahan PLTS dan BESS sebesar 15 MW pada tahun 2028. Namun, integrasi PLTS dan BESS pada lokasi yang tidak tepat dapat memengaruhi profil tegangan, aliran daya, dan rugi-rugi daya sistem. Oleh karena itu, penelitian ini bertujuan menentukan lokasi optimal penempatan PLTS dan BESS pada sistem kelistrikan Sulawesi Bagian Utara dan Gorontalo tahun 2028 menggunakan Whale Optimization Algorithm (WOA). Penelitian dilakukan melalui simulasi aliran daya pada DIgSILENT PowerFactory yang terintegrasi dengan Python. Hasil simulasi menunjukkan bahwa seluruh skenario penempatan mampu menurunkan rugi-rugi daya dan memperbaiki profil tegangan. Skenario terbaik diperoleh pada penempatan satu pasangan PLTS dan BESS di GI Bitung, dengan nilai fitness sebesar 0,6055162. Pada skenario ini, rugi-rugi daya aktif berkurang dari 8,6405565 MW menjadi 8,196682 MW, atau turun sebesar 5,1371%. Selain itu, tegangan minimum sistem meningkat dari 0,9294 p.u. menjadi 0,9523 p.u., dengan tegangan maksimum setelah optimasi sebesar 1,0095 p.u. Hasil tersebut menunjukkan bahwa penempatan terpusat di GI Bitung memberikan kinerja terbaik dibandingkan skenario tersebar dua dan tiga pasangan PLTS-BESS dalam meminimalkan rugi-rugi daya dan deviasi tegangan pada sistem Sulutgo tahun 2028.
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The increasing demand for electricity and the 2060 Net Zero Emission target encourage the integration of new renewable energy-based power plants in the electric power system, one of which is through the utilization of Solar Power Plants (PLTS) combined with Battery Energy Storage Systems (BESS). Based on the 2025–2034 RUPTL, the North Sulawesi and Gorontalo electricity system is planned to receive an additional 15 MW of PLTS and BESS by 2028. However, the integration of PLTS and BESS in inappropriate locations can affect the voltage profile, power flow, and power losses of the system. Therefore, this study aims to determine the optimal location for the placement of PLTS and BESS in the North Sulawesi and Gorontalo electricity system in 2028 using the Whale Optimization Algorithm (WOA). The study was conducted through power flow simulations in DIgSILENT PowerFactory integrated with Python. The simulation results show that all placement scenarios are able to reduce power losses and improve the voltage profile. The best scenario was obtained by placing a single pair of PLTS and BESS in the Bitung Substation, with a fitness value of 0.6055162. In this scenario, active power losses decreased from 8.6405565 MW to 8.196682 MW, or decreased by 5.1371%. In addition, the minimum system voltage increased from 0.9294 p.u. to 0.9523 p.u., with a maximum voltage after optimization of 1.0095 p.u. These results indicate that centralized placement in the Bitung Substation provides the best performance compared to the distributed scenarios of two and three PLTS-BESS pairs in minimizing power losses and voltage deviation in the Sulutgo system in 2028.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Penempatan Optimal, Pembangkit Listrik Tenaga Surya, Algoritma Metaheuristik, Kualitas Daya. Optimal Placement, Solar Power Generation, Metaheuristic Algorithms, Power Quality |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Muhamad Ais Faza Rohmat |
| Date Deposited: | 24 Jul 2026 07:32 |
| Last Modified: | 24 Jul 2026 07:32 |
| URI: | http://repository.its.ac.id/id/eprint/137182 |
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