Wicaksono, Nugroho (2016) Economic Dispatch Untuk Sistem Kelistrikan Microgrid Dengan Energy Storage Berbasis Adaptive Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan ilmu pengetahuan dan teknologi membawa pengaruh
akan meningkatnya kebutuhan akan daya listrik, namun ketersediaan
sumber energi konvensional (fossil) semakin menipis yang tentunya akan
berdampak pada tingkat ketahanan listrik. Oleh karenanya diperlukan
pembangkit-pembangkit tersebar berskala kecil (microgrid). Pembangkit
tersebar ini diupayakan bersumber pada energi terbarukan dengan
meminimalkan pemakaian dari sumber energi konvensional serta
digunakan energy storage untuk power balance. Oleh karena adanya
microgrid ini maka penting untuk menentukan besarnya pembangkitan
daya listrik yang optimal dari masing-masing pembangkit dan kapasitas
optimal energy storage sehingga kebutuhan daya listrik dapat dipenuhi
dengan biaya yang optimal. Pada penelitian ini dilakukan analisis
mengenai economic dispatch di dalam pengoperasian sistem kelistrikan
microgrid dengan energy storage. Algoritma APSO digunakan untuk
memecahkan masalah minimalisasi total biaya sistem. Simulasi komputer
menggunakan Matlab dilakukan untuk menunjukkan efektivitas dari
metodologi yang diusulkan dan dampak dari harga dan sistem
penyimpanan pada economic dispatch. Hasil simulasi menunjukkan
bahwa penggunaan metode APSO untuk ED pada sistem kelistrikan
microgrid memiliki performa kecepatan konvergensi yang lebih baik
dibanding metode PSO dan dengan pemanfaatan energy storage pada
sistem memberikan dampak penghematan biaya operasi.
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The development of science and technology also make the
increasing need for electrical power, but the availability of conventional
energy sources (fossil) depleting, which would certainly have an impact
on the level of electrical resistance. Therefore distributed generation
system (microgrid) is required. This distributed generation is strived from
renewable energy sources to minimize the use of conventional energy
sources and also used energy storage for power balance. With more
distributed generation applied to the system, it is important to determine
the optimal electrical power generation from each distributed generation
and optimal energy storage capacity, so that electrical power needs can
be met with an optimal cost. In this research, an analysis of the economic
dispatch within microgrid operation of the electrical system with energy
storage is done. APSO algorithm is used to solve the problem of
minimizing the total cost of the system. Computer simulations using
Matlab done to show the effectiveness of the proposed methodology and
the impact of price and storage system in economic dispatch. The
simulation results showed that the use of APSO methods for ED in
microgrid electrical system performs better convergence speed compared
PSO methods and the use of energy storage systems provide operating
cost savings impact.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.319 Wic e |
| Uncontrolled Keywords: | Economic Dispatch (ED), Microgrid, Artificial Intelligence, Adaptive Particle Swarm Optimization, Energy Storage. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 13 Feb 2020 06:47 |
| Last Modified: | 13 Feb 2020 06:47 |
| URI: | http://repository.its.ac.id/id/eprint/74876 |
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