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Control of Stand-Alone Photovoltaic System Using Fuzzy-Logic Controller
Abstract
With industrial development the problem of energy shortage is
more and more aggravating. The photovoltaic (PV) systems are
rapidly expanding and have increasing in electric power
technology and regarded as the green energy of the new century
control, sizing and management of stand-alone photovoltaic
systems are based on static method and energy estimation
allowing the simulation of PV system in average condition.
Indeed these approaches provide information about the expected
performances and acceptable satisfactions rates they do not
perform an optimisation of the PV plant for the local climate
conditions. The power supplied by solar arrays depends on the
radiation, temperature and array voltage, the operation point of a
load connected at the boundaries of a photovoltaic generator
always does not coincide with that of the optimal point and it
varied according to the weather conditions, in this way it's
necessary to track the maximum power of solar arrays. The
purpose of this work is to use the fuzzy-logic controller (flc) in
order to control of maximum power point tracker (mppt) of PV
generator under variable radiation conditions. For this, we used
as solution the control of the mppt variation in order to deliver
the highest power to the load; also we implemented a controller
circuit between PC and the regulator system. The designed
system is applicable for remote areas or isolated leads and the
sizing of stand-alone PV system. Obtained result indicates that
the proposed method can successfully be used for control of
mppt for stand-alone PV system.
Citation
Mellit, A.; Benghanme, M.; Arab, A. H.; Guessoum, A. (2004). Control of Stand-Alone Photovoltaic System Using Fuzzy-Logic Controller. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /4632.