The comparison of dual axis photovoltaic tracking system using artificial intelligence techniques

Machrus Ali, Aji Akbar Firdaus, Hamzah Arof, Hidayatul Nurohmah, Hadi Suyono, Dimas Fajar Uman Putra, Muhammad Aziz Muslim

Abstract


In this paper, the efficiency of photovoltaic panels is improved by adding a sun tracking system. The solar tracking system is used for tracking the sun so that photovoltaic always faces the sun. This system uses a dual axis consisting of horizontal rotation axis and a vertical rotation axis. The horizontal rotational axis motion is to follow the azimuth angle of the sun from north to south. Then, to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using a PID controller that is optimized with an artificial intelligence approach, namely particle swarm optimization (PID-PSO), firefly algorithm (PID-FA), imperialist competitive algorithm (PID-ICA), bat algorithm (PID-BA), and ant colony optimization (PID-ACO). Experiments of various approaches were carried out and the corresponding performance compared. The experimental results show that PID-BA performs best in terms of settling time and overshoot. The results also allow the comparison of different PID controller and the calculation of the fastest completion time.

Keywords


Bat algorithm, Dual axis photovoltaic tracking system, PID controller

Full Text:

PDF


DOI: http://doi.org/10.11591/ijai.v10.i4.pp901-909

Refbacks

  • There are currently no refbacks.


View IJAI Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.