ICM based ANFIS MPPT controller for grid connected photovoltaic system | Zendy

R. Pavan Kumar Naidu | Zendy; S. Meikandasivam | Zendy

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ICM based ANFIS MPPT controller for grid connected photovoltaic system

Author(s) -

R. Pavan Kumar Naidu,

S. Meikandasivam

Publication year - 2018

Publication title -

international journal of engineering and technology

Language(s) - English

Resource type - Journals

ISSN - 2227-524X

DOI - 10.14419/ijet.v7i3.13562

Subject(s) - maximum power point tracking , photovoltaic system , controller (irrigation) , boost converter , grid connected photovoltaic power system , inverter , computer science , control theory (sociology) , matlab , maximum power principle , grid , adaptive neuro fuzzy inference system , voltage , electronic engineering , engineering , electrical engineering , control (management) , mathematics , fuzzy control system , biology , fuzzy logic , agronomy , geometry , artificial intelligence , operating system

In this paper, grid-connected photovoltaic (PV) system is presented. PV system consists of a photovoltaic module, a boost converter, and voltage source inverter. ANFIS based ICM (Incremental Conductance Method) MPPT (Maximum Power Point Tracking) controller is utilized to produce gate signal for DC-DC boost converter. This controller is used for optimizing the total performance of the Photovoltaic system in turn the errors were reduced in Voltage Source Inverter (VSI). The grid-connected PV system performance is evaluated and har-monics occurred in the system are decreased. The proposed methodology is implemented in MATLAB/Simulink.

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