A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer

Mohamed H. Hassan; Heba Youssef; Salah Kamel; Francisco Jurado

doi:10.1109/IREC52758.2021.9624854

A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer

Mohamed H. Hassan
, Heba Youssef
, Salah Kamel
, Francisco Jurado

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

3 Scopus citations

Abstract

In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.

Original language	English
Title of host publication	2021 12th International Renewable Energy Congress, IREC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665432900
DOIs	https://doi.org/10.1109/IREC52758.2021.9624854
State	Published - 2021
Externally published	Yes
Event	12th International Renewable Energy Congress, IREC 2021 - Hammamet, Tunisia Duration: 26 Oct 2021 → 28 Oct 2021

Publication series

Name	2021 12th International Renewable Energy Congress, IREC 2021

Conference

Conference	12th International Renewable Energy Congress, IREC 2021
Country/Territory	Tunisia
City	Hammamet
Period	26/10/21 → 28/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Mayfly optimization algorithm
Power transformers
Transformer equivalent circuit
parameter estimation

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/IREC52758.2021.9624854

Cite this

Hassan, M. H., Youssef, H., Kamel, S., & Jurado, F. (2021). A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer. In 2021 12th International Renewable Energy Congress, IREC 2021 (2021 12th International Renewable Energy Congress, IREC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IREC52758.2021.9624854

@inproceedings{c8fd86deb45f4ab0907ba7e0327e3e91,

title = "A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer",

abstract = "In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.",

keywords = "Mayfly optimization algorithm, Power transformers, Transformer equivalent circuit, parameter estimation",

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

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th International Renewable Energy Congress, IREC 2021 ; Conference date: 26-10-2021 Through 28-10-2021",

year = "2021",

doi = "10.1109/IREC52758.2021.9624854",

language = "English",

series = "2021 12th International Renewable Energy Congress, IREC 2021",

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

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address = "United States",

}

Hassan, MH, Youssef, H, Kamel, S & Jurado, F 2021, A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer. in 2021 12th International Renewable Energy Congress, IREC 2021. 2021 12th International Renewable Energy Congress, IREC 2021, Institute of Electrical and Electronics Engineers Inc., 12th International Renewable Energy Congress, IREC 2021, Hammamet, Tunisia, 26/10/21. https://doi.org/10.1109/IREC52758.2021.9624854

A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer. / Hassan, Mohamed H.; Youssef, Heba; Kamel, Salah et al.
2021 12th International Renewable Energy Congress, IREC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 12th International Renewable Energy Congress, IREC 2021).

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

TY - GEN

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AU - Kamel, Salah

AU - Jurado, Francisco

PY - 2021

Y1 - 2021

N2 - In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.

AB - In this paper, the Mayfly Optimization algorithm (MA) is proposed to identify the parameters of the single-phase power transformer which is considered as one of the electric engineering optimization problems. This study aims to estimate equivalent circuit parameters of a single-phase transformer using current and voltage values at any known load. The difference between actual and estimated parameter values has been minimized using the MA technique and obtaining the best values for these parameters. The optimum value of the errors between the measured and the estimated values of the primary current, secondary current, and secondary voltage at full load using the proposed MA algorithm was compared with three other algorithms (Particle Swarm Optimization (PSO), Differential Evolution (DE) and Shuffled frog-leaping algorithm (SFLA)). The obtained results confirm that the proposed technique can be used for single-phase transformer parameters identification.

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KW - Transformer equivalent circuit

KW - parameter estimation

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M3 - Conference contribution

AN - SCOPUS:85123731043

T3 - 2021 12th International Renewable Energy Congress, IREC 2021

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Renewable Energy Congress, IREC 2021

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ER -

Hassan MH, Youssef H, Kamel S, Jurado F. A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer. In 2021 12th International Renewable Energy Congress, IREC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 12th International Renewable Energy Congress, IREC 2021). doi: 10.1109/IREC52758.2021.9624854

A New Application of Mayfly Optimization Algorithm for Parameter Estimation of Single-Phase Transformer

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this