Maximum Power Point Tracking Using FLC Tuned with GA

Authors: Mohamed Amine Haraoubia, Abdelaziz Hamzaoui, Najib Essounbouli

Abstract:

The pursuit of the MPPT has led to the development of many kinds of controllers, one of which is the Fuzzy Logic controller, which has proven its worth. To further tune this controller this paper will discuss and analyze the use of Genetic Algorithms to tune the Fuzzy Logic Controller. It will provide an introduction to both systems, and test their compatibility and performance.

Keywords: Fuzzy logic controller (FLC), fuzzy logic (FL), genetic algorithm (GA), maximum power point (MPP), maximum power point tracking (MPPT).

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338182

References:

[1] Quang, M. H. (2013). Optimisation de la production de l'électricitérenouvelable pour site isolé. Reims: University Reims.
[2] Bodenhofer, U. (1996). Tuning Of Fuzzy Systems.austria.
[3] CAO.Y. J, Q. (1999). Teaching genetic algorithm using MATLAB. Manchester: Int. J. Elect. Enging. Educ.
[4] Jun Srisutapan, B. K. (2001). Fuzzy Logic and Genetic Algorithm for optimizing the approximate match of rules based on backpropagation neural networks. IEEE.
[5] K.Rajangam, V. P. (2012). Fuzzy logic controlled genetic algorithm to solve the economic load dispatch for thermal power station.European Scientific Journal, 172-184.