OPTIMASI EKSTRAKSI DAYA PADA TURBIN ANGIN SPIRAL ARCHIMEDES MENGGUNAKAN PMSG DENGAN KONTROL MPPT

Razzaq, Muhammad Zaki AInur (2025) OPTIMASI EKSTRAKSI DAYA PADA TURBIN ANGIN SPIRAL ARCHIMEDES MENGGUNAKAN PMSG DENGAN KONTROL MPPT. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5022211227-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (3MB) | Request a copy

Abstract

Meningkatnya kebutuhan energi global dan isu lingkungan akibat penggunaan energi fosil mendorong pengembangan energi baru terbarukan (EBT) yang berkelanjutan. Turbin angin spiral Archimedes menawarkan solusi menjanjikan, terutama untuk kondisi angin di Indonesia yang cenderung lemah, karena desainnya yang unik dan efisien pada berbagai kecepatan angin. Namun, optimasi konversi energi listrik masih menjadi tantangan utama. Penelitian ini bertujuan untuk memodelkan, menganalisis, dan mengoptimalkan kinerja sistem konversi energi angin berdaya 1 kW yang mengintegrasikan turbin angin spiral Archimedes dengan Permanent Magnet Synchronous Generator (PMSG) dan dikendalikan oleh algoritma Maximum Power Point Tracking (MPPT). Metode yang digunakan adalah simulasi kuantitatif menggunakan perangkat lunak MATLAB/Simulink. Sistem yang dimodelkan terdiri dari turbin, PMSG, penyearah, dan buck converter yang dikendalikan oleh algoritma MPPT Perturb and Observe (P&O). Hasil simulasi statis pada kecepatan angin nominal 11,6 m/s menunjukkan sistem mampu menghasilkan daya listrik keluaran sebesar 960 W dari daya mekanis turbin 998 W. Rata-rata efisiensi sistem keseluruhan mencapai 93,6% dengan efisiensi pelacakan (tracking) daya maksimum rata-rata sebesar 97,075%. Uji dinamis dengan kecepatan angin yang bervariasi membuktikan bahwa algoritma MPPT P&O mampu melacak titik daya maksimum secara efektif dan menjaga stabilitas sistem. Disimpulkan bahwa pemodelan sistem ini valid dan andal, serta penerapan PMSG dengan MPPT P&O berhasil mengoptimalkan ekstraksi daya secara signifikan, menjadikannya solusi yang sangat potensial untuk pengembangan EBT di Indonesia.
========================================================================================================================================
The increasing global energy demand and environmental issues caused by fossil fuel usage have driven the development of sustainable renewable energy sources. The Archimedes spiral wind turbine offers a promising solution, especially under Indonesia's typically low wind speeds, due to its unique and efficient design at various wind conditions. However, optimizing electrical energy conversion remains a key challenge. This study aims to model, analyze, and optimize the performance of a 1 kW wind energy conversion system that integrates the Archimedes spiral turbine with a Permanent Magnet Synchronous Generator (PMSG) controlled by a Maximum Power Point Tracking (MPPT) algorithm. A quantitative simulation method was applied using MATLAB/Simulink. The modeled system includes a wind turbine, PMSG, rectifier, and a buck converter controlled by the Perturb and Observe (P&O) MPPT algorithm. Static simulations at a nominal wind speed of 11.6 m/s showed that the system could generate 960 W of electrical power from 998 W of mechanical turbine power. The overall system efficiency reached 93.6%, with an average maximum power point tracking efficiency of 97.075%. Dynamic tests with varying wind speeds demonstrated that the MPPT P&O algorithm effectively tracked the maximum power point and maintained system stability. It is concluded that the proposed system model is valid and reliable, and the application of PMSG with MPPT P&O significantly optimizes power extraction, making it a highly potential solution for renewable energy development in Indonesia.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Turbin Angin Spiral Archimedes, Permanent Magnet Synchronous Generator (PMSG), Optimasi, Maximum Power Point Tracking (MPPT), Konversi Energi, Efisiensi. Archimedes Spiral Wind Turbine, Permanent Magnet Synchronous Generator (PMSG), Optimization, Maximum Power Point Tracking (MPPT), Energy Conversion, Efficiency.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Zaki Ainur Razzaq
Date Deposited:	24 Jul 2025 03:01
Last Modified:	24 Jul 2025 03:01
URI:	http://repository.its.ac.id/id/eprint/120983

Actions (login required)

View Item