Open AccessA Comparative Analysis of MPPT Techniques for Grid Connected PVs
Author(s) -
F. Z. Kebbab,
L. Sabah,
Hamou Nouri
Publication year - 2022
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4704
Subject(s) - maximum power point tracking , photovoltaic system , cuckoo search , matlab , control theory (sociology) , maximum power principle , computer science , power (physics) , grid , tracking (education) , fuzzy logic , engineering , algorithm , voltage , mathematics , control (management) , electrical engineering , physics , artificial intelligence , inverter , psychology , pedagogy , geometry , quantum mechanics , particle swarm optimization , operating system
Maximum Power Point Tracking (MPPT) is essential for the application of a photovoltaic (PV) energy system in order to extract the maximum possible power under variable conditions of irradiation and temperature. This paper deals with the implementation of different MPPT algorithms for a PV array installed for a system connected to the Grid: Perturb and Observe (P&O), Fuzzy Logic Control (FLC), Cuckoo Search (CS), and Beta algorithms were simulated in Matlab/Simulink and the results were analyzed and compared. Beta algorithm proved to have greater tracking power, minor power loss, great tracking speed, less time, and less oscillation than the other techniques.