ANFIS Based SEPIC Converter For Maximum Power Point Tracking Of Photovoltaic Modules
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : Remya N S, Jubin Eldho Paul, Dhanya B Nair
|DOI : 10.14445/22315381/IJETT-V30P233|
Remya N S, Jubin Eldho Paul, Dhanya B Nair"ANFIS Based SEPIC Converter For Maximum Power Point Tracking Of Photovoltaic Modules", International Journal of Engineering Trends and Technology (IJETT), V30(4),170-175 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The use of solar energy has expanded dramatically in recent years. The photovoltaic (PV) system requires a adequate maximum power point tracking (MPPT) technique to maximize the PV output power. This paper presents the intelligent controllers based maximum power point tracking of PV system implemented with the Single Ended Primary Inductance converter (SEPIC) . The selection of the converter plays an important role for MPPT. The SEPIC converters have better efficiency as compared to other converters. SEPIC converters give step up and step down voltages depending up on the duty cycle, for duty cycle above 0.5 it will step up and below 0.5, it will step down the voltage to required value and it also gives non inverted output as compared to buck-boost and cuk converter. The algorithm used for MPPT is the Perturb and Observe (P&O) method. In this method the controller adjusts the voltage by a small amount from the array and measures power. if the power increases, further adjustments in that direction are tried until power no longer increases. The P&O algorithm has a simple structure and requires few parameters that is why it is extensively used. The maximum power point tracking of PV system using SEPIC is controlled by intelligent controllers, here the Adaptive Neuro Fuzzy Inference System (ANFIS) for MPPT of PV module using SEPIC is considered. The performance of the controller for MPPT is tested in simulation. Beside this, a scaled laboratory hardware prototype is developed.
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SEPIC converters, Adaptive Neuro Fuzzy Inference System (ANFIS), Photo Voltaic(PV) cell, Maximum Power Point Tracking(MPPT), P&O algorithm.