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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