Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The most important point in the control of (PV) systems is the design of the maximum power point tracking algorithm. Generally, MPPT depends on the solar irradiance (G) and Temperature (T). Many algorithms are developed for the MPPT to extract the maximum power and improve the efficiency of PV system it can be classified into groups, conventional methods, soft computing methods and evolutionary method. In this study, we proposed a new algorithm for MPPT of a photovoltaic system is Type_2 Fuzzy Logic Control system (T2FLC) to improve the MPPT performance. The T2FLC which can handle with rule uncertainties the application of this T2FLC, involves operations of fuzzification, inference and output processing. A T2FLC simulated using the MATLAB/Simulink package. The results show that the T2FLC algorithm based MPPT fulfil faster and best performance compared with the T1FLC algorithm and the conventional P&O algorithm.
How to cite this article:
Ammar H. Mutlag, Safaa A. Gadban and Rasha Kh. Kareem. Type_2 Fuzzy Logic Controller System of Maximum Power Point Tracking (MPPT).
DOI: https://doi.org/10.36478/jeasci.2019.4973.4979
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.4973.4979