Open AccessComparative analysis of fuzzy and ANFIS based MPPT controller for wind power generation system
Author(s) -
Annamalai Muthu
Publication year - 2021
Publication title -
international journal of applied power engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2624
pISSN - 2252-8792
DOI - 10.11591/ijape.v10.i4.pp355-363
Subject(s) - wind power , adaptive neuro fuzzy inference system , controller (irrigation) , electricity generation , maximum power point tracking , computer science , renewable energy , wind speed , maximum power principle , matlab , control engineering , power (physics) , control theory (sociology) , fuzzy logic , engineering , automotive engineering , photovoltaic system , fuzzy control system , electrical engineering , voltage , control (management) , meteorology , inverter , artificial intelligence , agronomy , physics , quantum mechanics , biology , operating system
In recent years, huge developments in wind energy production and meet consumer demand. Numerous researchers have focused on maximum energy generation techniques for the wind system. The main reason for this work is to compare the different smart controllers for the maximum power generation techniques in the wind system. In this article, we developed and modeled a 250-watt wind power system in a MATLAB environment and simulated it in different weather conditions. Based on the simulation results, two intelligent controllers, such as fuzzy and ANFIS, were proposed and compared to obtain the maximum energy generation techniques in the wind system. Finally, the optimal smart controller was chosen based on performance.