Analisis Optimal Power Flow Mempertimbangkan Emisi Menggunakan Metode Multi-Objective Particle Swarm Optimization

Azis, Muhammad Fadli (2015) Analisis Optimal Power Flow Mempertimbangkan Emisi Menggunakan Metode Multi-Objective Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Energi listrik dihasilkan oleh pembangkit-pembangkit yang tidak terbarukan dan terbarukan. Kenyataannya, kebanyakan pembangkit-pembangkit yang digunakan saat ini masih didominasi oleh pembangkit-pembangkit yang tak terbarukan. Pembangkit-pembangkit tak terbarukan tersebut menggunakan bahan bakar fosil sehingga menghasilkan emisi ketika beroperasi. Saat ini, minimalisasi biaya pembangkitan tidak hanya menjadi satu kriteria dalam operasi sistem tenaga listrik, tetapi juga memperhatikan kriteria lain yaitu kesehatan dan lingkungan. Tugas akhir ini membahas tentang analisis Optimal Power Flow (OPF) dengan mempertimbangkan emisi menggunakan Multi-Objective Particle Swarm Optimization (MOPSO). Teknik Multiobjective digunakan pada metode ini untuk menyelesaikan permasalahan optimasi yang terdiri dari lebih dari satu fungsi tujuan secara bersamaan. Fungsi tujuan yang akan dioptimasi pada OPF ini adalah biaya operasi dan emisi. Adapun teknik optimasi yang digunakan yaitu algoritma PSO. Sistem IEEE 30 bus digunakan sebagai plant untuk menerapkan metode ini. Hasil pengujian menunjukkan bahwa metode MOPSO mampu melakukan perhitungan OPF mempertimbangkan emisi. ========== Electrical energy is generated by renewable and nonrenewable energy sources. In fact, most of the energy sources which are used today are still dominated by non-renewable energy sources. The non-renewable energy sources use fossil fuels and produce emissions when operating. Nowadays, minimizing the generation cost not only becomes the one criterion in power system operation, but also concerning the other criteria such as health and environment. This paper discusses about Optimal Power Flow (OPF) analysis considering emission using Multi-Objective Particle Swarm Optimization (MOPSO). Multi-objective technique is used in this method to solve optimization problem which consists of more than one objective function simultaneously. The objective functions which are optimized in this OPF are operational cost and emission. Then, the optimization technique which is used is PSO algorithm. IEEE 30 bus system is used as a plant to apply this method. The test result shows that MOPSO method is able to calculate the OPF considering emission with maintaining the constraints such as equality, inequality, voltage and line capacity constraint.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.319 1 Azi a 3100015060520
Uncontrolled Keywords: Aliran Daya Optimal, Emisi, Multi-Objective, Particle Swarm Optimization, Optimal Power Flow, Emission, Multi-Objective, Particle Swarm Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4055 Electric motor
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 06 Dec 2019 06:44
Last Modified: 06 Dec 2019 06:44
URI: http://repository.its.ac.id/id/eprint/72205

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