A soft computing MPPT for PV system based on Cuckoo Search algorithm

Author

Ahmed, J. ; Salam, Z.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2013

Firstpage

558

Lastpage

562

Abstract

This paper presents a novel approach to determine the maximum power point (MPP) in Photovoltaic (PV) System using the Cuckoo Search (CS) algorithm. In CS, three samples of voltage are generated randomly over the span of the PV voltage. Based on the Le´vy distribution, the voltage samples are directed towards the best solution and on the basis of power comparison, the best position is found. The algorithm is simulated using MATLAB and compared to the conventional P&O method. It exhibits very fast convergence with zero steady state oscillation. In addition, it tracks the MPP perfectly when PV system is subjected to rapid changes of atmospheric condition.

Keywords

maximum power point trackers; oscillations; photovoltaic power systems; power engineering computing; search problems; Le´vy distribution; MATLAB; P&O method; PV system; PV voltage; atmospheric condition; cuckoo search algorithm; maximum power point; photovoltaic system; soft computing MPPT; zero steady state oscillation; Algorithm design and analysis; Atmospheric modeling; Birds; Convergence; Maximum power point trackers; Photovoltaic systems; Steady-state; Convergence speed; Cuckoo Search; Le´vy Flight; MPPT; Rapid tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on

Conference_Location

Istanbul

ISSN

2155-5516

Type

conf

DOI

10.1109/PowerEng.2013.6635669

Filename

6635669