Maximum Power Point Tracking of a Hybrid PV-Wind–Diesel System for Micro Grid | Zendy

Anamika Anamika | Zendy; Dr.Lini Mathew | Zendy

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Maximum 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 , fuzzy logic , computer science , control theory (sociology) , grid , maximum power principle , power (physics) , adaptive neuro fuzzy inference system , hybrid system , control engineering , fuzzy control system , engineering , mathematics , control (management) , artificial intelligence , inverter , electrical engineering , machine learning , 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.

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