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http://dx.doi.org/10.5370/JEET.2015.10.4.1389

Research and Experimental Implementation of a CV-FOINC Algorithm Using MPPT for PV Power System  

Arulmurugan, R. (Dept. of EEE, Research Scholar, Anna University)
Venkatesan, T. (Dept. of EEE, K.S. Rangasamy College of Technology)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.4, 2015 , pp. 1389-1399 More about this Journal
Abstract
This research suggests maximum power point tracking (MPPT) for the solar photovoltaic (PV) power scheme using a new constant voltage (CV) fractional order incremental conductance (FOINC) algorithm. The PV panel has low transformation efficiency and power output of PV panel depends on the change in weather conditions. Possible extracting power can be raised to a battery load utilizing a MPPT algorithm. Among all the MPPT strategies, the incremental conductance (INC) algorithm is mostly employed due to easy implementation, less fluctuations and faster tracking, which is not only has the merits of INC, fractional order can deliver a dynamic mathematical modelling to define non-linear physiognomies. CV-FOINC variation as dynamic variable is exploited to regulate the PV power toward the peak operating point. For a lesser scale photovoltaic conversion scheme, the suggested technique is validated by simulation with dissimilar operating conditions. Contributions are made in numerous aspects of the entire system, including new control algorithm design, system simulation, converter design, programming into simulation environment and experimental setup. The results confirm that the small tracking period and practicality in tracking of photovoltaic array.
Keywords
Constant voltage; Fraction order incremental conductance; Maximum power point tracking; Photovoltaic power system and fractional order differentiator;
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