A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer

Heba Youssef; Salah Kamel; Mohamed H. Hassan

doi:10.1109/MEPCON50283.2021.9686276

A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer

Heba Youssef
, Salah Kamel
, Mohamed H. Hassan

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

5 Scopus citations

Abstract

In this article, a new optimization technique called the Forensic-Based Investigation (FBI) Algorithm is applied for evaluating the parameters of single phase power transformers. The reports of the manufacturer's operation are used for the evaluation process. In this paper, the procedure of identifying the equivalent circuit parameters for the single transformer is based on the load test data in terms of input voltage, input power and load current. The main objective function of this study is proposed for reducing the error between the actual and the estimated parameters obtained using the proposed FBI algorithm. Further, the Forensic-Based Investigation algorithm is compared with PSO and jellyfish search (JS) optimizer algorithm. The results show that the proposed FBI technique has the best performance including the stability, superiority and convergence rapidly to solve the problem of the optimal parameters in single phase transformers compared with the PSO and JS algorithms.

Original language	English
Title of host publication	22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	445-448
Number of pages	4
ISBN (Electronic)	9781665419987
DOIs	https://doi.org/10.1109/MEPCON50283.2021.9686276
State	Published - 2021
Externally published	Yes

Publication series

Name	22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Forensic-Based Investigation Algorithm
Parameter estimation
Power transformers
Transformer equivalent circuit

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/MEPCON50283.2021.9686276

Cite this

Youssef, H., Kamel, S., & Hassan, M. H. (2021). A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer. In 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings (pp. 445-448). (22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON50283.2021.9686276

Youssef, Heba ; Kamel, Salah ; Hassan, Mohamed H. / A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer. 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 445-448 (22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings).

@inproceedings{2e50697d49e342c1bcfa14daa11cfa55,

title = "A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer",

abstract = "In this article, a new optimization technique called the Forensic-Based Investigation (FBI) Algorithm is applied for evaluating the parameters of single phase power transformers. The reports of the manufacturer's operation are used for the evaluation process. In this paper, the procedure of identifying the equivalent circuit parameters for the single transformer is based on the load test data in terms of input voltage, input power and load current. The main objective function of this study is proposed for reducing the error between the actual and the estimated parameters obtained using the proposed FBI algorithm. Further, the Forensic-Based Investigation algorithm is compared with PSO and jellyfish search (JS) optimizer algorithm. The results show that the proposed FBI technique has the best performance including the stability, superiority and convergence rapidly to solve the problem of the optimal parameters in single phase transformers compared with the PSO and JS algorithms.",

keywords = "Forensic-Based Investigation Algorithm, Parameter estimation, Power transformers, Transformer equivalent circuit",

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

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.",

year = "2021",

doi = "10.1109/MEPCON50283.2021.9686276",

language = "English",

series = "22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings",

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

pages = "445--448",

booktitle = "22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings",

address = "United States",

}

Youssef, H, Kamel, S & Hassan, MH 2021, A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer. in 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings. 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 445-448. https://doi.org/10.1109/MEPCON50283.2021.9686276

A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer. / Youssef, Heba; Kamel, Salah; Hassan, Mohamed H.
22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 445-448 (22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings).

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

TY - GEN

T1 - A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer

AU - Youssef, Heba

AU - Kamel, Salah

AU - Hassan, Mohamed H.

PY - 2021

Y1 - 2021

N2 - In this article, a new optimization technique called the Forensic-Based Investigation (FBI) Algorithm is applied for evaluating the parameters of single phase power transformers. The reports of the manufacturer's operation are used for the evaluation process. In this paper, the procedure of identifying the equivalent circuit parameters for the single transformer is based on the load test data in terms of input voltage, input power and load current. The main objective function of this study is proposed for reducing the error between the actual and the estimated parameters obtained using the proposed FBI algorithm. Further, the Forensic-Based Investigation algorithm is compared with PSO and jellyfish search (JS) optimizer algorithm. The results show that the proposed FBI technique has the best performance including the stability, superiority and convergence rapidly to solve the problem of the optimal parameters in single phase transformers compared with the PSO and JS algorithms.

AB - In this article, a new optimization technique called the Forensic-Based Investigation (FBI) Algorithm is applied for evaluating the parameters of single phase power transformers. The reports of the manufacturer's operation are used for the evaluation process. In this paper, the procedure of identifying the equivalent circuit parameters for the single transformer is based on the load test data in terms of input voltage, input power and load current. The main objective function of this study is proposed for reducing the error between the actual and the estimated parameters obtained using the proposed FBI algorithm. Further, the Forensic-Based Investigation algorithm is compared with PSO and jellyfish search (JS) optimizer algorithm. The results show that the proposed FBI technique has the best performance including the stability, superiority and convergence rapidly to solve the problem of the optimal parameters in single phase transformers compared with the PSO and JS algorithms.

KW - Forensic-Based Investigation Algorithm

KW - Parameter estimation

KW - Power transformers

KW - Transformer equivalent circuit

UR - https://www.scopus.com/pages/publications/85126777931

U2 - 10.1109/MEPCON50283.2021.9686276

DO - 10.1109/MEPCON50283.2021.9686276

M3 - Conference contribution

AN - SCOPUS:85126777931

T3 - 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings

SP - 445

EP - 448

BT - 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Youssef H, Kamel S, Hassan MH. A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer. In 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 445-448. (22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings). doi: 10.1109/MEPCON50283.2021.9686276

A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this