@inproceedings{51d30c45f3e54cf6ade293084c5cbd78,
title = "An intelligent FLC method for tracking the maximum power of photovoltaic systems",
abstract = "Maximum power point trackers are so important in photovoltaic systems since they become an efficient solution to improve the overall system efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The proposed input variables are the change in the voltage and the change in the power of the PV module which the output variable is the reference voltage which is then accumulated every certain time. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.",
author = "Noman, \{Abdullah M.\} and Addoweesh, \{Khaled E.\} and Mashaly, \{Hussein M.\}",
year = "2013",
doi = "10.1109/AFRCON.2013.6757688",
language = "English",
isbn = "9781467359405",
series = "IEEE AFRICON Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE AFRICON 2013",
address = "United States",
note = "IEEE AFRICON 2013 ; Conference date: 09-09-2013 Through 12-09-2013",
}
