Abstract

The photovoltaic (PV) panel can produce electrical energy that is very environmentally friendly and easy to use. The use of PV panels is suitable for supplying peak loads or at night using batteries as energy storage. However, the battery needs to manage for control, and the battery can last long. The solution to battery management problems is through research about the battery charging system. The DC-DC converter used is the Single Ended Primary Inductance Converter (SEPIC) type. Voltage Control of the battery charging using Adaptive Neuro-Fuzzy Inference System (ANFIS). In the simulation of bright conditions, ANFIS controls can track the charging point set point and obtain a voltage response with a rise time of 0.0028 s, a maximum overshoot of 0.027 %, a peak time of 0.008 s, and a settling time of 0.0193 s. When charging a solar tracker, PV battery gets a 0.25 % increase compared to a fixed PV panel. PV solar tracker can follow the direction of the sun's position. The irradiation value and maximum temperature affect the input voltage and input current that enters the converter.

Original languageEnglish
Article number0000
JournalE3S Web of Conferences
Volume190
DOIs
Publication statusPublished - 23 Sept 2020
Event1st International Conference on Renewable Energy Research and Challenge, ICoRER 2019 - Banyuwangi, Indonesia
Duration: 12 Nov 201913 Nov 2019

Keywords

  • Battery management
  • Electrical energy
  • Photovoltaic
  • Renewable energy
  • Solar tracker

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