Dynamic Economic Emission Dispatch Pada Sistem Transmisi Jawa-Bali 500 Kv Berdasarkan Ruptl Tahun 2015-2024 Menggunakan Metode Multi-Objective Particle Swarm Optimization (Mopso)

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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