Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13367
Title: Modeling of a photovoltaic system with different MPPT techniques using MATLAB/Simulink
Authors: Argyrou, Maria C. 
Christodoulides, Paul 
Kalogirou, Soteris A. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Fuzzy logic;Incremental conductance;Maximum power point tracking;Modeling;MPPT;Perturbation and Observation;Photovoltaic;Simulink
Issue Date: Jun-2018
Source: 5th IEEE International Energy Conference, 2018, 3-7 June, Limassol, Cyprus
Conference: 5th IEEE International Energy Conference 
Abstract: Solar photovoltaic energy is one of the most growing technologies in the world with a growth rate of 35-40% per year. In this paper, a step-by-step modeling of a PV system is presented. Additionally, a Maximum Power Point Tracking (MPPT) algorithm finds the maximum power for the operation of the PV system during variations of solar irradiance and ambient temperature. Different MPPT techniques are simulated, namely the Perturbation and Observation (P&O) method, the incremental conductance and a fuzzy logic control, which can improve the efficiency of the PV system generation dramatically. The proposed model is implemented in MATLAB/Simulink. The simulation results have shown that P&O and incremental conductance methods may fail under rapidly changing climatic conditions and present oscillations around the MPP during the steady state period. On the other hand, fuzzy logic control can track the system to the MPP very fast and accurately, even during rapid variations of atmospheric conditions.
URI: https://hdl.handle.net/20.500.14279/13367
DOI: 10.1109/ENERGYCON.2018.8398734
Rights: © 2018 IEEE.
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

SCOPUSTM   
Citations 1

19
checked on Nov 6, 2023

Page view(s) 1

409
Last Week
0
Last month
7
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.