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

doi:10.58905/saga.v2i2.304

Authors

Anggara Trisna Nugraha Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Purwidi Asri Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Hendro Agus Widodo Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Joesianto Eko Poetro Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Mohammad Abu Jamiin Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Urip Mudjiono Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Isa Rachman Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Mohammad Basuki Rahmat Automation Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia.
Muhammad Naufal Maulana Automation Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Muhammad Fikri Fathurrohman Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Raimundus Risa Arnestanta Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
Ivan Azwar Septiadi Automation Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia.
Rama Arya Sobhita Marine Electrical Engineering, Shipbuilding Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia

DOI:

https://doi.org/10.58905/saga.v2i2.304

Keywords:

Battery, Deep Discharge, Hybrid Generators, PSO Algorithm

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.

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