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Control of Stand-Alone Photovoltaic System Using Fuzzy-Logic Controller
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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.
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