Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms

M. U. Siddiqui; M. Abido

doi:10.1016/j.asoc.2013.07.005

Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms

M. U. Siddiqui^*, M. Abido

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

101 Scopus citations

Abstract

Equivalent electric circuit modeling of PV devices is widely used to predict PV electrical performance. The first task in using the model to calculate the electrical characteristics of a PV device is to find the model parameters which represent the PV device. In the present work, parameter estimation for the model parameter using various evolutionary algorithms is presented and compared. The constraint set on the estimation process is that only the data directly available in module datasheets can be used for estimating the parameters. The electrical model accuracy using the estimated parameters is then compared to several electrical models reported in literature for various PV cell technologies.

Original language	English
Pages (from-to)	4608-4621
Number of pages	14
Journal	Applied Soft Computing Journal
Volume	13
Issue number	12
DOIs	https://doi.org/10.1016/j.asoc.2013.07.005
State	Published - 2013

Bibliographical note

Funding Information:
Part of the work was supported by King Fahd University of Petroleum and Minerals through the Center for Clean Water and Clean Energy at KFUPM (DSR project # R6-DMN-08) and MIT.

Keywords

Equivalent circuit model
Evolutionary algorithms
Five parameter model
Hybrid evolutionary algorithms
Parameter estimation
Photovoltaic

ASJC Scopus subject areas

Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.asoc.2013.07.005

Cite this

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title = "Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms",

abstract = "Equivalent electric circuit modeling of PV devices is widely used to predict PV electrical performance. The first task in using the model to calculate the electrical characteristics of a PV device is to find the model parameters which represent the PV device. In the present work, parameter estimation for the model parameter using various evolutionary algorithms is presented and compared. The constraint set on the estimation process is that only the data directly available in module datasheets can be used for estimating the parameters. The electrical model accuracy using the estimated parameters is then compared to several electrical models reported in literature for various PV cell technologies.",

keywords = "Equivalent circuit model, Evolutionary algorithms, Five parameter model, Hybrid evolutionary algorithms, Parameter estimation, Photovoltaic",

author = "Siddiqui, \{M. U.\} and M. Abido",

note = "Funding Information: Part of the work was supported by King Fahd University of Petroleum and Minerals through the Center for Clean Water and Clean Energy at KFUPM (DSR project \# R6-DMN-08) and MIT. ",

year = "2013",

doi = "10.1016/j.asoc.2013.07.005",

language = "English",

volume = "13",

pages = "4608--4621",

journal = "Applied Soft Computing Journal",

issn = "1568-4946",

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TY - JOUR

T1 - Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms

AU - Siddiqui, M. U.

AU - Abido, M.

N1 - Funding Information: Part of the work was supported by King Fahd University of Petroleum and Minerals through the Center for Clean Water and Clean Energy at KFUPM (DSR project # R6-DMN-08) and MIT.

PY - 2013

Y1 - 2013

N2 - Equivalent electric circuit modeling of PV devices is widely used to predict PV electrical performance. The first task in using the model to calculate the electrical characteristics of a PV device is to find the model parameters which represent the PV device. In the present work, parameter estimation for the model parameter using various evolutionary algorithms is presented and compared. The constraint set on the estimation process is that only the data directly available in module datasheets can be used for estimating the parameters. The electrical model accuracy using the estimated parameters is then compared to several electrical models reported in literature for various PV cell technologies.

AB - Equivalent electric circuit modeling of PV devices is widely used to predict PV electrical performance. The first task in using the model to calculate the electrical characteristics of a PV device is to find the model parameters which represent the PV device. In the present work, parameter estimation for the model parameter using various evolutionary algorithms is presented and compared. The constraint set on the estimation process is that only the data directly available in module datasheets can be used for estimating the parameters. The electrical model accuracy using the estimated parameters is then compared to several electrical models reported in literature for various PV cell technologies.

KW - Equivalent circuit model

KW - Evolutionary algorithms

KW - Five parameter model

KW - Hybrid evolutionary algorithms

KW - Parameter estimation

KW - Photovoltaic

UR - https://www.scopus.com/pages/publications/84886725793

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DO - 10.1016/j.asoc.2013.07.005

M3 - Article

AN - SCOPUS:84886725793

SN - 1568-4946

VL - 13

SP - 4608

EP - 4621

JO - Applied Soft Computing Journal

JF - Applied Soft Computing Journal

IS - 12

ER -

Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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