Sudirman, Sudirman (2026) Pengembangan Kontrol Untuk Manajemen Energi Dinamis Pada Sistem Mikrogrid. Doctoral thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini mengembangkan strategi kontrol untuk manajemen energi dinamis pada sistem mikrogrid yang mengintegrasikan PV, turbin angin, baterai, generator diesel, dan koneksi jaringan listrik. Tantangan utama mikrogrid adalah fluktuasi sumber energi terbarukan dan variasi beban yang dapat mengganggu stabilitas sistem. Untuk mengatasi hal tersebut, penelitian ini mengusulkan pendekatan hybrid yang mengombinasikan Fuzzy Logic, PID, dan Model Predictive Control. Pendekatan ini dirancang untuk meningkatkan respons dinamis, dan adaptivitas sistem secara simultan. Sistem hybrid diuji dalam kondisi on-grid, off-grid, serta skenario dinamis dengan perubahan iradiasi, kecepatan angin, dan lonjakan beban. Hasil simulasi menunjukkan bahwa pengontrol hibrid mampu mempertahankan stabilitas tegangan dan frekuensi dengan efisiensi lebih dari 90 persen. Selain itu, kontrol Fuzzy memberikan fleksibilitas dalam menangani ketidakpastian input tanpa memerlukan model matematis yang kompleks. MPC berperan mengoptimalkan alokasi daya berdasarkan prediksi jangka pendek, sementara PID memastikan respons cepat terhadap perubahan lokal. Penelitian ini juga mengembangkan Rule-Based Energy Management System sebagai metode praktis untuk sistem mikrogrid gedung perkantoran. RB-EMS memanfaatkan aturan logika sederhana untuk mengatur suplai daya dari PV, baterai, dan grid secara efisien. Penerapan RB-EMS pada studi kasus menunjukkan rasio konsumsi sendiri energi terbarukan mendekati 99 persen. Sistem ini juga mampu mengurangi biaya operasional harian lebih dari 80 persen dibandingkan skenario tanpa pengelolaan energi. Penggunaan baterai yang terjadwal secara tepat terbukti efektif menekan pengambilan daya dari grid pada tarif tinggi. Kedua pendekatan hybrid kontrol dan RB-EMS memberikan peningkatan signifikan terhadap efisiensi energi, stabilitas teknis, dan pengurangan emisi karbon. Secara keseluruhan, penelitian ini memberikan kontribusi penting dalam pengembangan sistem manajemen energi yang cerdas, adaptif, dan dapat diterapkan pada berbagai konfigurasi mikrogrid.
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This study develops control strategies for dynamic energy management in microgrid systems that integrate photovoltaic systems, wind turbines, batteries, diesel generators, and grid connections. The main challenges in microgrids arise from fluctuations in renewable energy sources and variations in load demand, which can disrupt system stability. To address these challenges, this research proposes a hybrid control approach that combines Fuzzy Logic, PID, and Model Predictive Control. This approach is designed to enhance dynamic response, and system adaptability simultaneously. The hybrid system is tested under on-grid and off-grid conditions, as well as dynamic scenarios involving changes in irradiance, wind speed fluctuations, and load surges. Simulation results show that the hybrid controller is capable of maintaining voltage and frequency stability with efficiency exceeding 90 percent. In addition, the Fuzzy controller provides flexibility in handling input uncertainties without requiring complex mathematical models. MPC optimizes power allocation based on short-term predictions, while PID ensures fast response to local disturbances. This study also develops a Rule-Based Energy Management System as a practical method for office-building microgrid applications. The RB-EMS utilizes simple logical rules to efficiently regulate power supply from PV, batteries, and the grid. Its implementation in the case study demonstrates a renewable energy self-consumption ratio of nearly 99 percent. The system is also capable of reducing daily operational costs by more than 80 percent compared to scenarios without energy management. Properly scheduled battery operation effectively reduces power imports from the grid during high-tariff periods. Both the hybrid control and RB-EMS approaches provide significant improvements in energy efficiency, technical stability, and carbon emission reduction. Overall, this research contributes to the development of intelligent, adaptive, and scalable energy management systems applicable to various microgrid
configurations.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Microgrid, hybrid system, energy management, renewable energy, Mikrogrid, system hibrida, manajemen energi, energi terbarukan, Fuzzy logic Controller, kontrol cerdas, RB-EMS, Stabilitas Sistem, Fuzzy Logic Controller, intelligent control, RB-EMS, system stability |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20001-(S3) PhD Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 14 Jan 2026 06:56 |
| Last Modified: | 14 Jan 2026 06:56 |
| URI: | http://repository.its.ac.id/id/eprint/129618 |
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