A Chaotic Improved Artificial Bee Colony for Parameter Estimation of Photovoltaic Cells

Diego Oliva, Ahmed A. Ewees, Mohamed Abd El Aziz, Aboul Ella Hassanien and Marco Peréz-Cisneros
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Diego Oliva: Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI. Av. Revolución 1500, Guadalajara, 44430 Jalisco, Mexico
Ahmed A. Ewees: Scientific Research Group in Egypt (SRGE), Cairo 12613, Egypt
Mohamed Abd El Aziz: Scientific Research Group in Egypt (SRGE), Cairo 12613, Egypt
Aboul Ella Hassanien: Scientific Research Group in Egypt (SRGE), Cairo 12613, Egypt
Marco Peréz-Cisneros: Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI. Av. Revolución 1500, Guadalajara, 44430 Jalisco, Mexico

Energies, 2017, vol. 10, issue 7, 1-19

Abstract: The search for new energy resources is a crucial task nowadays. Research on the use of solar energy is growing every year. The aim is the design of devices that can produce a considerable amount of energy using the Sun’s radiation. The modeling of solar cells (SCs) is based on the estimation of the intrinsic parameters of electrical circuits that simulate their behavior based on the current vs. voltage characteristics. The problem of SC design is defined by highly nonlinear and multimodal objective functions. Most of the algorithms proposed to find the best solutions become trapped into local solutions. This paper introduces the Chaotic Improved Artificial Bee Colony (CIABC) algorithm for the estimation of SC parameters. It combines the use of chaotic maps instead random variables with the search capabilities of the Artificial Bee Colony approach. CIABC has also been modified to avoid the generation of new random solutions, preserving the information of previous iterations. In comparison with similar optimization methods, CIABC is able to find the global solution of complex and multimodal objective functions. Experimental results and comparisons prove that the proposed technique can design SCs, even with the presence of noise.

Keywords: solar cells; photovoltaic modules; artificial bee colony; chaotic maps; parameter estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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