International Journal of Advanced Information and Communication Technology


Fuzzy based Maximum Power Point Tracking in Grid Connected PV Systems under Partially Shading Conditions

P. Praveen Kumar, K. Jaiganesh, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu, India.

DOI : 01.0401/ijaict.2015.12.02

International Journal of Advanced Information and Communication Technology

Received On : May 09, 2018

Revised On : June 15, 2018

Accepted On : July 10, 2018

Published On : August 05, 2018

Volume 05, Issue 08

Pages : 913-922

Abstract


To convert solar energy more viable, the efficiency of solar array systems should be maximized. An easier approach to maximizing the efficiency of solar array systems is Maximum Power Point Tracking (MPPT). MPPT is used in photovoltaic (PV) systems to maximize the output power of photovoltaic array, irrespective of the irradiation and temperature conditions. Many conventional MPPT fails to attain global maximum power point due to presence of multiple maxima points in shaded solar PV panel. This work proposes a fuzzy based controller which always attains the global maximum point in shaded panels and to develop a control techniques for three phase grid connected PV system including a method for DC link voltage control that can stabilize the voltage at the inverter input. The proposed MPPT has been implemented by combining fuzzy logic based MPPT with a scanning and storing system. The proposed MPPT is able to reach the global maximum power point (MPP) under any partial shading conditions. Moreover, the controller exhibits a fast speed of convergence, having small oscillation around the MPP during steady state.

Keywords


MPPT, PV, Fuzzy Logic.

Cite this article


P. Praveen Kumar, K. Jaiganesh, “Fuzzy based Maximum Power Point Tracking in Grid Connected PV Systems under Partially Shading Conditions” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.913-922, August 05, 2018.

Copyright


© 2018 P. Praveen Kumar, K. Jaiganesh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.