Title :
Microcontroller based high precision PSO algorithm for maximum solar power tracking
Author :
Azam, Md Ali ; Abdullah-Al-Nahid, Syed ; Alam, Mohammad Munirul ; Plabon, Benozir Ahmed
Author_Institution :
Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
Abstract :
In this paper, a high precision robust algorithm incorporated with Microcontrollers for tracking maximum power point of PV panel based on particle swarm optimization has been proposed. Steady state error problems as well as problems related to sampling points and sampling direction of traditional swarm chasing algorithm have been successfully encountered in the proposed algorithm. Several swarms based on their decision and neighbor´s decision try to converge through the lowest minimum path to reach the maximum power point. The Simulation, performed with MATLAB & PSIM, showed that individual swarm tracks MPPT point with efficiency more than 98%. The response is fast, robust and precise than traditional Algorithms. Step by step procedure of practical realization of the proposed algorithm using ATMEGA8 Microcontroller has been discussed thoroughly.
Keywords :
mathematics computing; maximum power point trackers; microcontrollers; particle swarm optimisation; solar power; ATMEGA8 Microcontroller; MATLAB; PSIM; PV panel; high precision PSO algorithm; maximum solar power tracking; microcontroller; particle swarm optimization; sampling direction; sampling points; steady state error; swarm chasing algorithm; tracking maximum power point; Current-voltage characteristics; Inductors; Meteorology; Microcontrollers; Pulse width modulation; Steady-state; Artificial Intelligence; MPPT; PSO; charge controller; maximum power point tracking; microcontroller; particle swarm optimization;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317340
