Ridho, Moch Ali (2021) Kontrol Optimal Sistem Pembangkit Hybrid Solar Photovoltaic dan Diesel Engine Generator Menggunakan Permanent Magnet Synchronous Generator dengan ANFIS Controller. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Diesel Engine Generator (DEG) menjadi sumber daya yang dapat diandalkan pada daerah yang belum terjamah oleh jaringan listrik karena perawatannya terbilang mudah. Namun DEG memiliki kekurangan yaitu penggunaan bahan bakar yang kurang efisien sehingga membuat biaya penggunaanya mahal. Salah satu cara mengurangi biaya penggunaan pembangkit DEG adalah dengan menggabungkannya dengan pembangkit photovoltaic (PV). Kecepatan dari generator juga mempengaruhi konsumsi bahan bakarnya. Oleh karena itu di topik ini dibuat generator yang kecepatannya di kontrol mengikuti beban sehingga generator dapat bekerja pada titik optimumnya. Generator yang digunakan dalam topik ini adalah permanent magnet synchronous generator (PMSG), generator tersebut merupakan generator yang dapat menghasilkan energi listrik skala mikro. Pada topik ini dicoba sebuah controller berbasis adaptive neuro fuzzy inference system (ANFIS). ANFIS yang dicoba pada topik ini-rnenggunakan 6 layer yang meliputi layer input, layer fuzzifikasi, layer rule, layer normalisasi, layer defuzzifikasi dan layer summation. Tujuan dari penelitian ini adalah optimalisasi pada system pembangkit hybrid DEG – PV dengan menggunakan beban Direct Current (DC). Simulasi dibuat menggunakan aplikasi Simulink matlab.
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Diesel Engine Generator (DEG) is a reliable resource in areas
that have not been touched by the electricity network because
maintenance is fairly easy. However, DEG has a disadvantage, namely
the use of wasteful fuel, which makes its use expensive. One way to
reduce the cost of using DEG generators is to combine them with
photovoltaic (PV) plants. The speed of the generator also affects its fuel
consumption. Therefore, in this topic, a generator whose speed is
controlled follows the load so that the generator can work at its optimum
point. The generator used in this topic is a permanent magnet synchronous
generator (PMSG), the generator is a generator that can produce microscale electrical energy. In this topic, we try a controller based on adaptive
neuro fuzzy inference system (ANFIS). The ANFIS tested on this topic
uses 6 layers which include input layer, fuzzification layer, rule layer,
normalization layer, defuzzification layer and summation layer. The
purpose of this research is to optimize the DEG – PV hybrid power system
using Direct Current (DC) load. Simulations were made using the
Simulink matlab application.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Diesel Engine Generator, Photovoltaic, Hybrid, Anfis Controller, Permanent Magnet Synchronous Generato |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ808 Renewable energy sources. Energy harvesting. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2797 Motor-generator sets. Cascade |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Moch Ali Ridho |
| Date Deposited: | 22 Aug 2021 06:20 |
| Last Modified: | 22 Aug 2021 06:20 |
| URI: | http://repository.its.ac.id/id/eprint/88208 |
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