Eliezer, I Putu Giovanni (2016) Dynamic Economic Emission Dispatch Pada Sistem Transmisi Jawa-Bali 500 Kv Berdasarkan Ruptl Tahun 2015-2024 Menggunakan Metode Multi-Objective Particle Swarm Optimization (Mopso). Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Kebutuhan daya listrik setiap tahun meningkat akibat pesatnya
perkembangan infrastruktur dan teknologi sehingga pemerintah dituntut
untuk menyediakan daya dengan cara membangun pembangkit listrik.
Pembangkit listrik yang berfungsi untuk menanggung beban dasar yaitu
pembangkit termal. Operasi pembangkit termal sangat bergantung pada
harga bahan bakar. Apabila permintaan daya listrik meningkat maka
biaya operasi dan emisi yang dihasilkan oleh pembangkit akan menjadi
tinggi. Pembangunan pembangkit secara besar-besaran kurang efektif
karena memerlukan investasi yang besar dan waktu pengerjaan yang
sangat lama. Diperlukan suatu solusi untuk meminimalkan total biaya
pembangkitan dan total emisi yang dihasilkan setiap unit pembangkit
dengan tetap menjaga keandalan sistem tenaga listrik. Analisa
pembebanan, biaya bahan bakar serta emisi pembangkit tenaga listrik
secara dinamis dikenal dengan istilah Dynamic Economic Emission
Dispatch (DEED). Perhitungan dari permasalahan DEED pada tugas
akhir ini menggunakan metode Multi-Objective Particle Swarm
Optimization (MOPSO) dengan mempertimbangkan equality constraint,
inequality constraint dan ramp rate. Simulasi Multi-Objective dengan
menggunakan 3 kondisi yaitu prioritas biaya, prioritas biaya dan emisi
serta prioritas emisi. Jika diutamakan prioritas biaya, maka biaya
menjadi lebih murah namun emisi yang dihasilkan lebih tinggi,
sedangkan ketika emisi di utamakan maka biaya akan menjadi lebih
mahal namun emisi lebih kecil
================================================================================================ Demand of electric power is increasing due to the rapid development
of infrastructure and technology so that the government is expected to
provide the electric power by building a power plant. The power plant
which serves to supply the base load is thermal power plant. Operation of
thermal power plant depends on the price of fuel. If the electricity demand
increases, operating cost and emission which produced by power plant
will be costly. The construction of massively less effective because it
requires huge investment and very long processing time. Needed a
solution to minimize the total cost of generation and total emission
produced per unit plant with regard to the reliability of the power system.
Analysis of power plant dispatching, fuel cost and emission with dynamic
condition as known as Dynamic Economic Emission Dispatch (DEED).
Calculation of the problems in this final project using Multi-Objective
Particle Swarm Optimization method (MOPSO) considering by equality
constraint, inequality constraint and ramp rate. Simulation of Multi-
Objective by using three conditions include cost priority, cost and
emission priority and emission priority. If the cost is prioritized, then the
cost becomes cheaper but higher emissions produced, whereas when
emissions are prioritized then the cost will be more costly but less
emissions
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.310 151 Eli d |
| Uncontrolled Keywords: | Economic Dispatch, Emission Dispatch, Dynamic Economic Emission Dispatch, Ramp Rate, Multi-Objective |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 18 Feb 2020 03:42 |
| Last Modified: | 18 Feb 2020 03:42 |
| URI: | http://repository.its.ac.id/id/eprint/74998 |
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