NDLI: Genetic algorithm based optimal operation for photovoltaic systems under different fault criteria

Content Provider	IEEE Xplore Digital Library
Author	Kaddah, S.S.
Copyright Year	2006
Description	Author affiliation: Electr. Eng. Dept., Mansoura Univ., Mansoura, Egypt (Kaddah, S.S.)
Abstract	The need to optimize the operation of PV systems is justified by the fact that PV systems are expensive to build, fuel- free source, and it is therefore natural that user of such systems would want them to perform at their most optimal point. Under the faulted condition, the power curve has a multi-peak nature; conventional optimization technique can easily fall down in local optimal and initial point problems. Genetic algorithm as a global optimization technique is adopted to optimize photovoltaic power system under different faulted conditions. The proposed PV system and GA scheme is tested for three different sizes (three module panel five module and seven module panel) of PV system under different faulted conditions and the simulation results sbown in the paper. It is shown from the results that the genetic algorithm captured the exact optimization point accurately for the tested cases.
Starting Page	556
Ending Page	561
File Size	1721494
Page Count	6
File Format	PDF
ISBN	9781424451111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-19
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	El-Minia University
Subject Keyword	Photovoltaic systems Genetic algorithms
Content Type	Text
Resource Type	Article

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Genetic algorithm based optimal operation for photovoltaic systems under different fault criteria