Parameter estimation of single phase transformer using jellyfish search optimizer algorithm

Heba Youssef; Mohamed H. Hassan; Salah Kamel; Salah K. Elsayed

doi:10.1109/ICAACCA51523.2021.9465279

Parameter estimation of single phase transformer using jellyfish search optimizer algorithm

Heba Youssef
, Mohamed H. Hassan
, Salah Kamel
, Salah K. Elsayed

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

19 Scopus citations

Abstract

In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any different load. Through algorithm, difference between actual data and estimated parameter values, the error, is taken as the main objective function that must be minimized. Experiential verifications are done on 4 kVA, 250/125 V, 50 Hz single-phase transformer. The obtained results using JS determine accurate parameters of transformer equivalent circuit. These results prove that the applied algorithm can be used for parameters estimation of single-phase transformer.

Original language	English
Title of host publication	2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665401272
DOIs	https://doi.org/10.1109/ICAACCA51523.2021.9465279
State	Published - 22 Mar 2021
Externally published	Yes
Event	2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021 - Valparaiso, Chile Duration: 22 Mar 2021 → 26 Mar 2021

Publication series

Name	2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021

Conference

Conference	2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021
Country/Territory	Chile
City	Valparaiso
Period	22/03/21 → 26/03/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Jellyfish search optimizer algorithm
Parameter estimation
Power transformers
Transformer equivalent circuit

ASJC Scopus subject areas

Computer Science Applications
Safety, Risk, Reliability and Quality
Control and Optimization
Health Informatics
Computer Networks and Communications

Access to Document

10.1109/ICAACCA51523.2021.9465279

Cite this

Youssef, H., Hassan, M. H., Kamel, S., & Elsayed, S. K. (2021). Parameter estimation of single phase transformer using jellyfish search optimizer algorithm. In 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021 Article 9465279 (2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAACCA51523.2021.9465279

Youssef, Heba ; Hassan, Mohamed H. ; Kamel, Salah et al. / Parameter estimation of single phase transformer using jellyfish search optimizer algorithm. 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021).

@inproceedings{e990f11bdb224ea5acf5ab272f72c27f,

title = "Parameter estimation of single phase transformer using jellyfish search optimizer algorithm",

abstract = "In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any different load. Through algorithm, difference between actual data and estimated parameter values, the error, is taken as the main objective function that must be minimized. Experiential verifications are done on 4 kVA, 250/125 V, 50 Hz single-phase transformer. The obtained results using JS determine accurate parameters of transformer equivalent circuit. These results prove that the applied algorithm can be used for parameters estimation of single-phase transformer.",

keywords = "Jellyfish search optimizer algorithm, Parameter estimation, Power transformers, Transformer equivalent circuit",

author = "Heba Youssef and Hassan, \{Mohamed H.\} and Salah Kamel and Elsayed, \{Salah K.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021 ; Conference date: 22-03-2021 Through 26-03-2021",

year = "2021",

month = mar,

day = "22",

doi = "10.1109/ICAACCA51523.2021.9465279",

language = "English",

series = "2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021",

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

booktitle = "2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021",

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}

Youssef, H, Hassan, MH, Kamel, S & Elsayed, SK 2021, Parameter estimation of single phase transformer using jellyfish search optimizer algorithm. in 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021., 9465279, 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021, Valparaiso, Chile, 22/03/21. https://doi.org/10.1109/ICAACCA51523.2021.9465279

Parameter estimation of single phase transformer using jellyfish search optimizer algorithm. / Youssef, Heba; Hassan, Mohamed H.; Kamel, Salah et al.
2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9465279 (2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021).

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

TY - GEN

T1 - Parameter estimation of single phase transformer using jellyfish search optimizer algorithm

AU - Youssef, Heba

AU - Hassan, Mohamed H.

AU - Kamel, Salah

AU - Elsayed, Salah K.

PY - 2021/3/22

Y1 - 2021/3/22

N2 - In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any different load. Through algorithm, difference between actual data and estimated parameter values, the error, is taken as the main objective function that must be minimized. Experiential verifications are done on 4 kVA, 250/125 V, 50 Hz single-phase transformer. The obtained results using JS determine accurate parameters of transformer equivalent circuit. These results prove that the applied algorithm can be used for parameters estimation of single-phase transformer.

AB - In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any different load. Through algorithm, difference between actual data and estimated parameter values, the error, is taken as the main objective function that must be minimized. Experiential verifications are done on 4 kVA, 250/125 V, 50 Hz single-phase transformer. The obtained results using JS determine accurate parameters of transformer equivalent circuit. These results prove that the applied algorithm can be used for parameters estimation of single-phase transformer.

KW - Jellyfish search optimizer algorithm

KW - Parameter estimation

KW - Power transformers

KW - Transformer equivalent circuit

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M3 - Conference contribution

AN - SCOPUS:85114202930

T3 - 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021

BT - 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021

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ER -

Youssef H, Hassan MH, Kamel S, Elsayed SK. Parameter estimation of single phase transformer using jellyfish search optimizer algorithm. In 2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9465279. (2021 IEEE International Conference on Automation/24th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2021). doi: 10.1109/ICAACCA51523.2021.9465279

Parameter estimation of single phase transformer using jellyfish search optimizer algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this