Parameter estimation of photovoltaic system using imperialist competitive algorithm

Ahmed Fathy; Hegazy Rezk

doi:10.1016/j.renene.2017.04.014

Parameter estimation of photovoltaic system using imperialist competitive algorithm

Ahmed Fathy, Hegazy Rezk

Electrical Engineering

Zagazig University

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

173 Scopus citations

Abstract

This paper presents a reliable methodology based on imperialist competitive algorithm (ICA) for estimating the optimal parameters of photovoltaic (PV) generating unit. The PV system is simulated by single diode model and double diode model. The proposed constrained objective function is derived from the voltage-power curve of the PV system which has unique maximum power point (MPP). The analysis is performed on different types of PV systems; mono-crystalline, poly-crystalline and amorphous modules. The validation of ICA is investigated for PV cell/module operated under different irradiances and temperatures; the obtained results are compared with experimental data and other reported meta-heuristic optimization algorithms. The results confirm the validity and reliability of ICA in extracting the optimal parameters of the PV generating unit.

Original language	English
Pages (from-to)	307-320
Number of pages	14
Journal	Renewable Energy
Volume	111
DOIs	https://doi.org/10.1016/j.renene.2017.04.014
State	Published - 2017

Keywords

Double diode model
Imperialist competitive algorithm
PV parameter estimation
Single diode model

UN SDGs

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

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10.1016/j.renene.2017.04.014

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title = "Parameter estimation of photovoltaic system using imperialist competitive algorithm",

abstract = "This paper presents a reliable methodology based on imperialist competitive algorithm (ICA) for estimating the optimal parameters of photovoltaic (PV) generating unit. The PV system is simulated by single diode model and double diode model. The proposed constrained objective function is derived from the voltage-power curve of the PV system which has unique maximum power point (MPP). The analysis is performed on different types of PV systems; mono-crystalline, poly-crystalline and amorphous modules. The validation of ICA is investigated for PV cell/module operated under different irradiances and temperatures; the obtained results are compared with experimental data and other reported meta-heuristic optimization algorithms. The results confirm the validity and reliability of ICA in extracting the optimal parameters of the PV generating unit.",

keywords = "Double diode model, Imperialist competitive algorithm, PV parameter estimation, Single diode model",

author = "Ahmed Fathy and Hegazy Rezk",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd",

year = "2017",

doi = "10.1016/j.renene.2017.04.014",

language = "English",

volume = "111",

pages = "307--320",

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TY - JOUR

T1 - Parameter estimation of photovoltaic system using imperialist competitive algorithm

AU - Fathy, Ahmed

AU - Rezk, Hegazy

PY - 2017

Y1 - 2017

N2 - This paper presents a reliable methodology based on imperialist competitive algorithm (ICA) for estimating the optimal parameters of photovoltaic (PV) generating unit. The PV system is simulated by single diode model and double diode model. The proposed constrained objective function is derived from the voltage-power curve of the PV system which has unique maximum power point (MPP). The analysis is performed on different types of PV systems; mono-crystalline, poly-crystalline and amorphous modules. The validation of ICA is investigated for PV cell/module operated under different irradiances and temperatures; the obtained results are compared with experimental data and other reported meta-heuristic optimization algorithms. The results confirm the validity and reliability of ICA in extracting the optimal parameters of the PV generating unit.

AB - This paper presents a reliable methodology based on imperialist competitive algorithm (ICA) for estimating the optimal parameters of photovoltaic (PV) generating unit. The PV system is simulated by single diode model and double diode model. The proposed constrained objective function is derived from the voltage-power curve of the PV system which has unique maximum power point (MPP). The analysis is performed on different types of PV systems; mono-crystalline, poly-crystalline and amorphous modules. The validation of ICA is investigated for PV cell/module operated under different irradiances and temperatures; the obtained results are compared with experimental data and other reported meta-heuristic optimization algorithms. The results confirm the validity and reliability of ICA in extracting the optimal parameters of the PV generating unit.

KW - Double diode model

KW - Imperialist competitive algorithm

KW - PV parameter estimation

KW - Single diode model

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DO - 10.1016/j.renene.2017.04.014

M3 - Article

AN - SCOPUS:85017546553

SN - 0960-1481

VL - 111

SP - 307

EP - 320

JO - Renewable Energy

JF - Renewable Energy

ER -

Parameter estimation of photovoltaic system using imperialist competitive algorithm

Abstract

Keywords

UN SDGs

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