Zuhair, Alvin (2019) Optimasi Injeksi Photovoltaic Distributed Generation untuk Meminimalisasi Losses Menggunakan Ant Colony Optimization Continuous Domain dan Improved Particle Swarm Optimization. Magister thesis, Universitas Brawijaya.
Abstract
Solusi terbaik dalam menyelesaikan permasalahan krisis energi pembangkit listrik yaitu dibutuhkan sumber energi alternatif atau terbarukan yang ramah lingkungan, ekonomis, berkelanjutan dan secara teknis mudah di implemetasikan. Pada sistem tenaga listrik, kualitas daya listrik yang diterima oleh beban yang jauh dari pusat pembangkitan listrik semakin menurun dan rugi-rugi daya semakin meningkat. Dalam mempertahankan kualitas tegangan dan menambah pasokan daya pada jaringan, perlu pemanfaatan pembangkit energi matahari yaitu Photovoltaic Distributed Generation (PVDG). Penelitian ini membahas optimasi PVDG dengan melakukan pencarian lokasi injeksi dan kapasitas daya menggunakan metode Ant Colony Optimization Continuous Domain (ACOCD) dan Improved Particle Swarm Optimization (IPSO). Terdapat tiga skenario yang di implementasikan pada pada sistem yang berdasarkan peningkatan nilai injeksi dan penyebaran pembangkit dari sumber pembangkitan awal. Hasil yang diperoleh menunjukkan kondisi ideal sistem terdapat pada optimasi skenario-3 dengan penambahan 4 PVDG dengan daya injeksi 50% nilai daya beban maksimum dengan konstrain yang diberikan pada batas bawah pembangkitan yaitu 0.5 kW dan batas atas pembangkitan yaitu 2 MW. Rugi-rugi daya menurun setelah injeksi daya PVDG, pengurangan daya aktif yang sebelum injkesi 5.08% namun, setelah injeksi daya PVDG rugi-rugi daya aktif menurun menjadi 0.09% (ACOCD) dan 0,13% (IPSO). Dari penelitian ini menunjukkan metode ACOCD lebih baik dibandingkan metode IPSO.
English Abstract
The best solution in solving the problem of power plant energy crisis is that alternative, renewable energy sources are needed that are environmentally friendly, economical, sustainable and technically easy to implement. In an electric power system, the quality of electric power received by loads far from the center of electricity generation decreases and power losses increase. In maintaining voltage quality and increasing power supply to the network, it is necessary to utilize solar energy generation, namely Photovoltaic Distributed Generation (PVDG). This study discusses PVDG optimization by searching for injection locations and power capacity using the Ant Colony Optimization Continuous Domain (ACOCD) and Improved Particle Swarm Optimization (IPSO) methods. There are three scenarios that are implemented in a system based on increasing the value of injection and spreading the plant from the initial generation source. The results obtained indicate the ideal condition of the system contained in the optimization scenario-3 with the addition of 4 PVDG with 50% injection power value of the maximum load power with constraints given at the lower limit of the generation of 0.5 kW and the upper limit of the generation of 2 MW. Power losses decreased after PVDG power injection, the reduction of active power which was before injection was 5.08% but, after PVDG power injection the active power losses decreased to 0.09% (ACOCD) and 0.13% (IPSO). From this study, the ACOCD method is better than the IPSO method.
Other obstract
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| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/621.312 44/ZUH/o/2019/042000450 |
| Uncontrolled Keywords: | PHOTOVOLTAIC POWER GENERATION, DISTRIBUTED GENERATION OF ELECTRIC POWER |
| Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting > 621.31 Generations, modification, storage, transmission of electric power > 621.312 Generation, modification, storage > 621.312 4 Direct energy conversion > 621.312 44 Generation of electricity from solar radiation |
| Divisions: | S2/S3 > Magister Teknik Elektro, Fakultas Teknik |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 17 Jan 2020 02:44 |
| Last Modified: | 25 Oct 2021 06:31 |
| URI: | http://repository.ub.ac.id/id/eprint/178022 |
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