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All Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Bulletin of Community Engagement SAGA: Journal of Technology and Information Systems Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Teknologi Maritim Jurnal Cakrawala Maritim
Mohammad Basuki Rahmat
Politek Perkapalan ITS
Religion Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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Journal : SAGA: Journal of Technology and Information Systems

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Anticipation of Deep Discharge of Batteries in Solar Panels Based on the Particle Swarm Optimization (PSO)Algorithm Anggara Trisna Nugraha; Purwidi Asri; Hendro Agus Widodo; Joesianto Eko Poetro; Mohammad Abu Jamiin; Urip Mudjiono; Isa Rachman; Mohammad Basuki Rahmat; Muhammad Naufal Maulana; Muhammad Fikri Fathurrohman; Raimundus Risa Arnestanta; Ivan Azwar Septiadi; Rama Arya Sobhita
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.304

Abstract

Renewable energy is an alternative type of energy that can be used continuously without fear of environmental pollution. One of the things that can be used to get new renewable energy is using solar panels where later the electrical energy produced will be stored in batteries. A part from the advantages of a battery that can store electrical energy, but if it is used excessively and causes the battery to experience a deep discharge condition, steps are needed to over come it.This study uses the Particle Swarm Optimization method as an auxiliary method. And in this research it has been found that the auto switch system can charge battery 1 and battery 2 when the voltage level is below 11.88V or the DoD is already at 55% and stops charging when the voltage level is above 12.86Vfor battery 1and batteries 2.
Co-Authors Achmad Ainnurzein Adam Maulana, Adam Maulana Adi, Muhammad Adimassyah Adianto Adianto Agus Khumaidi Agus Nurcahyo Anggara Trisna Nugraha Arfianto, Afif Zuhri Arif Purnomo Aji Asri, Purwidi Auliya, Prativi Khilyatul Bella Naziel Iqmalia Binti Mualifatul Rosydah Budianto C. I. Sutrisno Dewi Rizani Ruwahida Dian Asa Utari Didik Sukoco Dimas Fanny Kusuma Dimas Pristovani Riananda Dinda Pramanta Dody Hidayat Dzil, Fadhli Farizi Rachman Fitroh Resmi Hendro Agus Widodo Ilyasa' Maula Basharon Isa Rachman Ivan Azwar Septiadi Joesianto Eko Poetro Joko Endrasmono Joko Endrasmono4 Lanang Ilham Kelana Lilik Subiyanto Lutfi Wicaksono M.Khoirul Hasin Mat Syai’in Mey Rohma Dhani Mohammad Abu Jamiin Muhamad Nasir Muhammad Fikri Fathurrohman Muhammad Khoirul Hasin Muhammad Naufal Maulana Pranowo Sidi Raimundus Risa Arnestanta Rama Arya Sobhita Rini Indarti Ryan Yudha Adhitya Septaviola Dini Utami Trio Andika Putra Urip Mudjiono Wahyudi, Asyal Achnan Yuning Widiarti Zindhu Maulana Ahmad Putra