Determination of the parameters of the firefly method for PID parameters in solar panel applications

Machrus Ali; Hadi Suyono; Muhammad Aziz Muslim; Muhammad Ruswandi Djalal; Yanuar Mahfudz Safarudin; Aji Akbar Firdaus

doi:10.22441/sinergi.2022.2.016

Authors

Machrus Ali Department of Electrical Engineering, Universitas Darul Ulum, Indonesia
Hadi Suyono Department of Electrical Engineering, Universitas Brawijaya, Indonesia
Muhammad Aziz Muslim Department of Electrical Engineering, Universitas Brawijaya, Indonesia
Muhammad Ruswandi Djalal Departement of Electrical Engineering, Politeknik Negeri Ujung Pandang, Indonesia
Yanuar Mahfudz Safarudin Departement of Electrical Engineering, Politeknik Negeri Semarang, Indonesia
Aji Akbar Firdaus Department of Engineering, Universitas Airlangga, Indonesia

DOI:

https://doi.org/10.22441/sinergi.2022.2.016

Keywords:

Dual Axis Tracking, Energy Conversion, Firefly Algorithm, Photovoltaic,

Abstract

The optimal performance of solar panels is very important to produce maximum electrical energy. Solar panels can work optimally when equipped with a solar tracker. The solar panel tracker works by following the sun's movement. A Proportional, Integral, Derivative (PID) based control is used to optimize the performance of the solar tracker. An optimal tuning is needed to get the PID parameter. The Firefly method is an intelligent method that can be used to optimize PID parameters. Three Firefly Algorithm (FA) parameters are used in the program: Beta is used to determine firefly speed, Alpha is used for flexibility of movement, and Gamma is used for more complex constraints or problems. This Dual Axis photovoltaic tracking study uses the beta value determination, changing the Bêta value from 0.1 to 0.9. From the results of 10 models, it was found that the PID constant values were varied. On the horizontal Axis, the best results are if the Beta is given at 0.4, and the worst result is if the Beta is given at 0.8. On the vertical Axis, the best results are if the Beta is given at 0.3, and the worst result is if the Beta is given at 0.8.