Open AccessMaximum Power Point Tracking of a Hybrid PV-Wind–Diesel System for Micro Grid
Author(s) -
Anamika Anamika,
Dr.Lini Mathew
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f4356.049620
Subject(s) - maximum power point tracking , photovoltaic system , matlab , control theory (sociology) , fuzzy logic , computer science , maximum power principle , hybrid system , adaptive neuro fuzzy inference system , grid , power (physics) , control engineering , fuzzy control system , engineering , mathematics , control (management) , inverter , artificial intelligence , machine learning , electrical engineering , physics , geometry , quantum mechanics , operating system
This paper proposed a hybrid system a combination of photovoltaic source and wind energy with Diesel system. The objective of the proposed work is to implement P&O mechanism on MPPT system, to implement Fuzzy Inference System based MPPT system and to implement PID based MPPT system. The simulation of the proposed Perturb and observe (P&O) and Fuzzy Logic algorithms MPPT techniques is done in MATLAB and results are compared in terms of certain parameters. It is analyzed that fuzzy Logic MPPT approach is the most efficient approach performs well as compared to existing technique.