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A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm
Faculty
Science
Year:
2013
Type of Publication:
Article
Pages:
Authors:
El-Arini, Mahdi M. M, Othman, Ahmed M, Fathy, Ahmed
DOI:
10.1155/2013/481468
Journal:
INTERNATIONAL JOURNAL OF PHOTOENERGY HINDAWI PUBLISHING CORPORATION
Volume:
Research Area:
Chemistry; Energy \& Fuels; Optics; Physics
ISSN
ISI:000317229500001
Keywords :
, , Optimization Approach , Maximizing , Photovoltaic Panel Power
Abstract:
In recent years, the solar energy has become one of the most important alternative sources of electric energy, so it is important to operate photovoltaic (PV) panel at the optimal point to obtain the possible maximum efficiency. This paper presents a new optimization approach to maximize the electrical power of a PV panel. The technique which is based on objective function represents the output power of the PV panel and constraints, equality and inequality. First the dummy variables that have effect on the output power are classified into two categories: dependent and independent. The proposed approach is a multistage one as the genetic algorithm, GA, is used to obtain the best initial population at optimal solution and this initial population is fed to Lagrange multiplier algorithm (LM), then a comparison between the two algorithms, GA and LM, is performed. The proposed technique is applied to solar radiation measured at Helwan city at latitude 29.87 degrees, Egypt. The results showed that the proposed technique is applicable.
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