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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electronics and Instrumentation Systems Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Multitek Indonesia : Jurnal Ilmiah Journal of Electrical Engineering and Computer (JEECOM) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Fortech SinarFe7
Ermanu Azizul Hakim
Universitas Muhammadiyah Malang
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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MPPT Menggunakan Algoritme Particle Swarm Optimization dan Artificial Bee Colony Ermanu Azizul Hakim; Tamadar Al Ghufran; Machmud Effendy; Novendra Setyawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1172.478 KB) | DOI: 10.22146/jnteti.v9i2.81

Abstract

Solar power plant is a renewable electricity generator that utilizes heat from sunlight. However, because the intensity of light received by the solar cell and the temperature in the solar cell is always changing, the power generated is not optimal. To optimize the output power of the solar cell, a Maxi-mum Power Point Tracking (MPPT) system is needed. Solar cells can be optimized by looking for MPPT and also by using a DC-DC converter. In this study, boost converter is optimized using Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms. The results show that the highest efficiency obtained from boost converter is 78.25%,using duty cycle of 20%. For the overall system testing conducted at 09:00 WIB until 11:10 WIB, the average power obtained without using MPPT is 12.55 W, the average power of MPPT system using boost converter with PSO algorithm is 16.79 W, and average power of MPPT system using boost converter with ABC algorithm is 14.52 W. From the results, it was concluded that the output power of MPPT system using boost converter with PSO algorithm is more optimal than the MPPT system using boost converter with ABC algorithm.
Co-Authors Amrul Faruq Basri Noor Cahyadi Diding Suhardi Diding Suhardi Diding Suhardi Diding Suhardi, Diding Dimas Prihara Yopi Prasetya Fatih Mutamimul Wildan Fauzan, Fauzan Ghufron Wahyu Kurniawan Ilham Pakaya Jannata Savira Transferano Machmud Effendy Machmud Effendy Mas Nurul Achmadiah Muhamad Prambudi Muhammad Irfan Novendra Setyawan Nur Kasan, Nur Nurhadi Nurhadi Rahayu Pandunengsih Tamadar Al Ghufran Wildan, Fatih Mutamimul Zulfatman Zulfatman