A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells

C. Chellaswamy; Taha; Mohammed Shaji; Rajasree Y. Rao; Mohammad Jawwad; Gulshan Sharma

doi:10.1109/i-PACT44901.2019.8959966

A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells

C. Chellaswamy
, Taha
, Mohammed Shaji
, Rajasree Y. Rao
, Mohammad Jawwad
, Gulshan Sharma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

Triple diode model is used in the present work for making a lumped parameter equivalent circuit for solar photovoltaic (PV) model. Flower pollination optimization algorithm (FPOA) is used for finding out various parameters of the solar cell. The theoretical values considering the estimation are not the same as the industrial samples of double diode model. Many current components of solar cells were not found by the two diode model correctly whereas a triple diode model can extract the data accurately. The FPOA is being used to extract different parameters of the given triple diode model. The success of the FPOA optimization process is that it performs the local and global search within the single stage to extract the parameters. Simulation is carried out and the performance of the FPOA is compared with two other optimization techniques such as differential evolution (DE) method and particle swarm optimization (PSO) method. Comparison result shows that the triple diode model including FPOA provides superior performance than the double and single diode model. Moreover, huge silicon solar cells could be explained easily by the triple diode model.

Original language	English (US)
Title of host publication	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538681909
DOIs	https://doi.org/10.1109/i-PACT44901.2019.8959966
Publication status	Published - Mar 2019
Externally published	Yes
Event	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 - Vellore, India Duration: 22 Mar 2019 → 23 Mar 2019

Publication series

Name	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

Conference

Conference	2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019
Country/Territory	India
City	Vellore
Period	22/03/19 → 23/03/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

diode model
optimization algorithm
parameter extraction
photovoltaic array
solar cell

Access to Document

10.1109/i-PACT44901.2019.8959966

Cite this

Chellaswamy, C., Taha, Shaji, M., Rao, R. Y., Jawwad, M., & Sharma, G. (2019). A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells. In 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 Article 8959966 (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/i-PACT44901.2019.8959966

@inproceedings{927e33f404ab41a1aee4d4fe51c937ec,

title = "A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells",

abstract = "Triple diode model is used in the present work for making a lumped parameter equivalent circuit for solar photovoltaic (PV) model. Flower pollination optimization algorithm (FPOA) is used for finding out various parameters of the solar cell. The theoretical values considering the estimation are not the same as the industrial samples of double diode model. Many current components of solar cells were not found by the two diode model correctly whereas a triple diode model can extract the data accurately. The FPOA is being used to extract different parameters of the given triple diode model. The success of the FPOA optimization process is that it performs the local and global search within the single stage to extract the parameters. Simulation is carried out and the performance of the FPOA is compared with two other optimization techniques such as differential evolution (DE) method and particle swarm optimization (PSO) method. Comparison result shows that the triple diode model including FPOA provides superior performance than the double and single diode model. Moreover, huge silicon solar cells could be explained easily by the triple diode model.",

keywords = "diode model, optimization algorithm, parameter extraction, photovoltaic array, solar cell",

author = "C. Chellaswamy and Taha and Mohammed Shaji and Rao, \{Rajasree Y.\} and Mohammad Jawwad and Gulshan Sharma",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 ; Conference date: 22-03-2019 Through 23-03-2019",

year = "2019",

month = mar,

doi = "10.1109/i-PACT44901.2019.8959966",

language = "English (US)",

series = "2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019",

address = "United States",

}

Chellaswamy, C, Taha, Shaji, M, Rao, RY, Jawwad, M & Sharma, G 2019, A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells. in 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019., 8959966, 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, Institute of Electrical and Electronics Engineers Inc., 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, Vellore, India, 22/03/19. https://doi.org/10.1109/i-PACT44901.2019.8959966

A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells. / Chellaswamy, C.; Taha; Shaji, Mohammed et al.
2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8959966 (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells

AU - Chellaswamy, C.

AU - Taha,

AU - Shaji, Mohammed

AU - Rao, Rajasree Y.

AU - Jawwad, Mohammad

AU - Sharma, Gulshan

PY - 2019/3

Y1 - 2019/3

N2 - Triple diode model is used in the present work for making a lumped parameter equivalent circuit for solar photovoltaic (PV) model. Flower pollination optimization algorithm (FPOA) is used for finding out various parameters of the solar cell. The theoretical values considering the estimation are not the same as the industrial samples of double diode model. Many current components of solar cells were not found by the two diode model correctly whereas a triple diode model can extract the data accurately. The FPOA is being used to extract different parameters of the given triple diode model. The success of the FPOA optimization process is that it performs the local and global search within the single stage to extract the parameters. Simulation is carried out and the performance of the FPOA is compared with two other optimization techniques such as differential evolution (DE) method and particle swarm optimization (PSO) method. Comparison result shows that the triple diode model including FPOA provides superior performance than the double and single diode model. Moreover, huge silicon solar cells could be explained easily by the triple diode model.

AB - Triple diode model is used in the present work for making a lumped parameter equivalent circuit for solar photovoltaic (PV) model. Flower pollination optimization algorithm (FPOA) is used for finding out various parameters of the solar cell. The theoretical values considering the estimation are not the same as the industrial samples of double diode model. Many current components of solar cells were not found by the two diode model correctly whereas a triple diode model can extract the data accurately. The FPOA is being used to extract different parameters of the given triple diode model. The success of the FPOA optimization process is that it performs the local and global search within the single stage to extract the parameters. Simulation is carried out and the performance of the FPOA is compared with two other optimization techniques such as differential evolution (DE) method and particle swarm optimization (PSO) method. Comparison result shows that the triple diode model including FPOA provides superior performance than the double and single diode model. Moreover, huge silicon solar cells could be explained easily by the triple diode model.

KW - diode model

KW - optimization algorithm

KW - parameter extraction

KW - photovoltaic array

KW - solar cell

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M3 - Conference contribution

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BT - 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019

Y2 - 22 March 2019 through 23 March 2019

ER -

Chellaswamy C, Taha, Shaji M, Rao RY, Jawwad M, Sharma G. A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells. In 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8959966. (2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019). doi: 10.1109/i-PACT44901.2019.8959966

A Novel Optimization Method for Parameter Extraction of Industrial Solar Cells

Abstract

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UN SDGs

Keywords

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