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

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

Sinergi
Vol 26, No 2 (2022)

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.